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Wyniki wyszukiwania dla: MELA-NOMA MALIGNANT
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Intelligent system supporting diagnosis of malignant melanoma
PublikacjaMalignant melanomas are the most deadly type of skin cancers. Early diagnosis is a key for successful treatment and survival. The paper presents the system for supporting the process of diagnosis of skin lesions in order to detect a malignant melanoma. The paper describes the development process of an intel-ligent system purposed for the diagnosis of malignant melanoma. Presented sys-tem can be used as a decision support system...
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The significance of substance P in physiological and malignant haematopoiesis
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Common variants of DNA repair genes and malignant melanoma
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DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES
PublikacjaMalignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In the last twenty years, the interest of automated melanoma recognition detection and classification dynamically increased partially because of public datasets appearing with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task...
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Comprehensive analysis of microRNA expression profile in malignant glioma tissues
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Nutritional Status and the Outcomes of Endoscopic Stenting in Benign and Malignant Diseases of Esophagus
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Molecular differences in mitochondrial DNA genomes of dogs with malignant mammary tumours
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Enhanced Suppressive Activity of Regulatory T Cells in the Microenvironment of Malignant Pleural Effusions
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Differential Expression of HIF1A, EPAS1, and VEGF Genes in Benign and Malignant Ovarian Neoplasia
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DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY
PublikacjaThe paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure...
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Low prevalence of CDKN2A/ARF mutations among early-onset cancers of breast, pancreas and malignant melanoma in Poland
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Antiproliferative Activity of Double Point Modified Analogs of 1,25-Dihydroxyvitamin D2 Against Human Malignant Melanoma Cell Lines
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Endogenously generated DNA nucleobase modifications source, and significance as possible biomarkers of malignant transformation risk, and role in anticancer therapy
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Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures
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The associations between serum VEGF, bFGF and endoglin levels with microvessel density and expression of proangiogenic factors in malignant and benign ovarian tumors
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Antiproliferative activity of side-chain truncated vitamin D analogs (PRI-1203 and PRI-1204) against human malignant melanoma cell lines
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A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence
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Multilocular cystic renal neoplasm of low malignant potential - Male, 42 - Tissue image [617073002674451]
Dane BadawczeThis is the histopathological image of KIDNEY 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.
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Multilocular cystic renal neoplasm of low malignant potential - Male, 42 - Tissue image [6170730026749991]
Dane BadawczeThis is the histopathological image of KIDNEY 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.
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Multilocular cystic renal neoplasm of low malignant potential - Male, 42 - Tissue image [6170730026743851]
Dane BadawczeThis is the histopathological image of KIDNEY 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.
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Multilocular cystic renal neoplasm of low malignant potential - Male, 42 - Tissue image [6170730026745981]
Dane BadawczeThis is the histopathological image of KIDNEY 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.
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Correction to: A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence
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Profiles of a broad spectrum of epigenetic DNA modifications in normal and malignant human cell lines: Proliferation rate is not the major factor responsible for the 5-hydroxymethyl-2′-deoxycytidine level in cultured cancerous cell lines
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Malignant neoplasm arising from pre-existing spiradenoma - Male, 64 - Tissue image [912072957516291]
Dane BadawczeThis is the histopathological image of SKIN 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.
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Correction: Profiles of a broad spectrum of epigenetic DNA modifications in normal and malignant human cell lines: Proliferation rate is not the major factor responsible for the 5-hydroxymethyl-2′-deoxycytidine level in cultured cancerous cell lines
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Malignant neoplasm arising from pre-existing spiradenoma - Male, 63 - Tissue image [9220729551204161]
Dane BadawczeThis is the histopathological image of BRONCHUS AND LUNG 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.
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Nieortogonalna metoda dostępu wielokrotnego dla systemów następnych generacji
PublikacjaW artykule zaprezentowano nieortogonalną, metodę dostępu wielokrotnego do kanału, nazywaną w skrócie metodą NOMA, która jest prawdopodobna do zastosowania w systemach 5G. Porównano ją z dotychczas powszechnie stosowanymi metodami ortogonalnymi OMA. Analizę przeprowadzono dla łącza w dół i łącza w górę.
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis
PublikacjaRenal 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...
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Dobrze jest... mieć wsparcie
WydarzeniaW ramach Politechniki Otwartej spotkanie z Jankiem Melą – najmłodszym w historii zdobywcą biegunów Ziemi oraz jego mamą Urszulą Melą.
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Deep convolutional neural network for predicting kidney tumour malignancy
PublikacjaPurpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...
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Malignant neoplasm of rectum - Female, 62 - Tissue image [9270729565542381]
Dane BadawczeThis is the histopathological image of RECTUM 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.
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Malignant neoplasm of rectum - Female, 62 - Tissue image [9270729565549951]
Dane BadawczeThis is the histopathological image of RECTUM 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.
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Malignant neoplasm of rectum - Female, 62 - Tissue image [9270729565546611]
Dane BadawczeThis is the histopathological image of RECTUM 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.
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Malignant neoplasm of rectum - Female, 62 - Tissue image [9270729565543961]
Dane BadawczeThis is the histopathological image of RECTUM 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.
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Malignant neoplasm of prostate - Male, 66 - Tissue image [9140730014134101]
Dane BadawczeThis 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069404801]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069403601]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant neoplasm of prostate - Male, 66 - Tissue image [9140730014134041]
Dane BadawczeThis 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.
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Malignant neoplasm of prostate - Male, 66 - Tissue image [9140730014131391]
Dane BadawczeThis 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.
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Malignant neoplasm of prostate - Male, 66 - Tissue image [914073001413801]
Dane BadawczeThis 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069404351]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069409671]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069409371]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069403321]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3301001549114601]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant neoplasm of prostate - Male, 66 - Tissue image [9140730014139611]
Dane BadawczeThis 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069403801]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [3300730069408511]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma, NOS - Unknown, 58 - Tissue image [330073006940661]
Dane BadawczeThis is the histopathological image of ACCESSORY SINUSES 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.
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Malignant melanoma of skin, unspecified - Female, 50 - Tissue image [9270729565538991]
Dane BadawczeThis is the histopathological image of LYMPH NODES 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.