Search results for: SCORM

• Malignant neoplasm of prostate - Male, 63 - Tissue image [313063001643771]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [221063002033481]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3140630024311251]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020341021]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 63 - Tissue image [3130630016436421]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [314063002431721]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [314063002430581]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3300730069452511]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 63 - Tissue image [3130630016435341]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020343671]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020349321]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020346461]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020331481]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020336331]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3140630024306681]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 66 - Tissue image [3130630016439571]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [330073006945491]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 66 - Tissue image [3130630016448181]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020334441]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020342391]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3140630024306131]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 57 - Tissue image [2210630020338341]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 63 - Tissue image [3130630016432401]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3140630024302881]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [314063002430211]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction

  Publication

  • W. Studziński
  • M. Przybyłek
  • A. Gackowska

  - ENVIRONMENTAL POLLUTION - Year 2023

  Mobility is a key feature affecting the environmental fate, which is of particular importance in the case of persistent organic pollutants (POPs) and emerging pollutants (EPs). In this study, the global mobility classification artificial neural networks-based models employing GC retention times (RT) and 2D molecular descriptors were constructed and validated. The high usability of RT was confirmed based on the feature selection...

  Full text to download in external service

• RE-SHAPING THE LAND AND WATER CONNECTIONS AND ITS ROLE IN ACHIEVING LANDSCAPE AND ECOLOGICAL SYSTEMS’ CONTINUITY ON THE POST-INDUSTRIAL TERRITORIES

  Publication

  • I. Burda
  • L. Nyka

  - Year 2016

  This paper delves into recently applied strategies of creating new water areas and modifying the existing ones as a part of the transformation processes of post-industrial territories. It proves that while the pursuit for unique architectural and urban space values remains an important factor contributing to such modifications, they may also play an important role in reclaiming ecological systems continuity. On the basis of theoretical...

• Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

  Publication

  • M. Glembin
  • A. Obuchowski
  • B. Klaudel
  • B. Rydziński
  • R. Karski
  • P. Syty
  • P. Jasik
  • W. J. Narożański

  - Medical Science Monitor - Year 2023

  Renal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...

  Full text available to download

• Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations

  Publication

  • T. Dziubich
  • J. Cychnerski

  - Year 2021

  Deployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...

  Full text to download in external service

• A new index for statistical analyses and prediction of travelling ionospheric disturbances

  Publication

  • C. Borries
  • A. A. Ferreira
  • G. Nykiel
  • R. A. Borges

  - JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS - Year 2023

  Travelling Ionospheric Disturbances (TIDs) are signatures of atmospheric gravity waves (AGWs) observed in changes in the electron density. The analysis of TIDs is relevant for studying coupling processes in the thermosphere–ionosphere system. A new TID index is introduced, which is based on an easy extension of the commonly used approach for TID detection. This TID activity index, which can be applied for individual Global Navigation...

  Full text available to download

• Youth attitude to entrepreneurship in Eastern and Central European countries: Gender aspect

  Publication

  • J. Wasilczuk
  • O. Karyy

  - Problems and Perspectives in Management - Year 2022

  Current business conditions pose new challenges to youth entrepreneurship, which is a significant component of countries’ economic growth. In addition, Generation Z differs from previous generations and requires new approaches. In this context, a comprehensive study of the peculiarities and various aspects of youth entrepreneurship development is highly-demanded and relevant. Furthermore, the lower representation of women among...

  Full text available to download

• Modeling protein structures with the coarse-grained UNRES force field in the CASP14 experiment

  Publication

  • A. Antoniak
  • I. Biskupek
  • K. K. Bojarski
  • C. Czaplewski
  • A. Giełdoń
  • M. Kogut
  • M. M. Kogut
  • P. Krupa
  • A. Lipska
  • A. Liwo... and 9 others

  - JOURNAL OF MOLECULAR GRAPHICS & MODELLING - Year 2021

  The UNited RESidue (UNRES) force field was tested in the 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), in which larger oligomeric and multimeric targets were present compared to previous editions. Three prediction modes were tested (i) ab initio (the UNRES group), (ii) contact-assisted (the UNRES- contact group), and (iii) template-assisted (the UNRES-template...

  Full text available to download

• Malignant neoplasm of prostate - Male, 67 - Tissue image [9140730014139941]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026303291]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 39 - Tissue image [2270630026302791]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 55 - Tissue image [2270630026303201]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 67 - Tissue image [2270630026308431]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026302681]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 55 - Tissue image [3300730069476201]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026303531]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026318631]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of prostate - Male, 65 - Tissue image [3300730069455761]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026308641]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [227063002630301]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 67 - Tissue image [2270630026309281]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026311211]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026305531]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 54 - Tissue image [2270630026304381]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 48 - Tissue image [2270630026306101]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Malignant neoplasm of breast - Female, 67 - Tissue image [2270630026302001]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.