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Wyniki wyszukiwania dla: liver tumour segmentation
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Multi-objective design of miniaturized impedance transformers by domain segmentation
PublikacjaFast multi-objective design optimization of compact microstrip impedance transformers is discussed. Our approach exploits approximation models constructed using sampled coarse- mesh EM simulation data in a partitioned design space and response correction techniques for design refinement. Demonstra
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Detection of Helicobacter rodentium-like DNA in the liver tissue of patients with chronic liver diseases by polymerase chain reaction–denaturing gradient gel electrophoresis and DNA sequence analysis
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Spectrum of Epithelial-Mesenchymal Transition Phenotypes in Circulating Tumour Cells from Early Breast Cancer Patients
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Effects of some antibiotics on glucose 6-phosphate dehydrogenase in sheep liver
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Quantitative proteomic analysis of anticancer drug RH1 resistance in liver carcinoma
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Proteome changes upon in ovo stimulation with Lactobacillus synbiotic in chicken liver
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Antoxidant enzymes in the liver and gills ofTinca tincafrom various water bodies
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Iron overload and HFE gene mutations in Polish patients with liver cirrhosis
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Metabolic transformation of antitumor agent C1311 with various fractions of rat liver.
PublikacjaWykazano, że enzymatyczna aktywacja jest konieczna dla aktywności bilogicznej pochodnej C-1311. Zbadano przemiany związku w obecności różnych frakcji enzymatycznych mikrosomalnych komórek wątroby szczura.Badania te wykazały, że związek C-1311 jest bardziej podatny na transformację pod wpływem frakcji aktywowanych enzymów mikrosomalnych (CYP1A, CYP2B, CYP3A i CYP4A) niż frakcji S9, cytozolowej czy mikrosomów nieaktywowanych. Związek...
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Detoxification of the tricyclic antidepressant opipramol and its analog – IS-noh by UGT enzymes before and after activation by phase I enzymes in rat liver microsomes
PublikacjaThe present studies were carried out to evaluate the simultaneous one-pot metabolism of opipramol (IS-opi) and analog (IS-noh) by phase I and phase II enzymes present in rat liver microsomes (RLM) as an alternative to separate testing with recombinant enzymes. This approach allows for more time-saving and cost-effective screening of the metabolism of newly discovered drugs. We also considered that the lack of results for phase...
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Enhanced Medical Image Segmentation using CNN based on Histogram Equalization
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Parking detection system using background subtraction and HSV color segmentation
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Application of colour image segmentation for localization and extraction text from images
PublikacjaW otaczającym nas świecie informacja tekstowa odgrywa wielką rolę. W postaci tekstowej podawane są: nazwy ulic, nazwy sklepów i instytucji, opisy przedmiotów np. tytuły książek, opakowań itp. Jednocześnie współczesne programy komputerowe służące do rozpoznawania tekstu (OCR) ''nie radzą sobie'' z analizą obrazów otrzymanaych za pomocą kamer. Segmentacja obrazu z następującą kontekstową analizą parametrów segmentów może dostarczyć...
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Effect of sweet grass extract against oxidative stress in rat liver and serum
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Organotin compounds in the liver tissue of marine mammals from the PolishCoast of the Baltic Sea.
PublikacjaOznaczono zawartość związków cynoorganicznych w próbkach wątrób pochodzących od ssaków morskich złowionych w polskiej strefie ekonomicznej Morza Bałtyckiego. W ramach przeprowadzonych badań opracowana została oryginalna metodyka analityczna. Całkowite stężenie związków z tej grupy wahało się w granicach od 43,9 do 7698 ng Sn/g próbki (w przeliczeniu na suchą masę). Badano zależność stężeń tych związków od wieku i płci osobników.
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LIVER AND INTRAHEPATIC BILE DUCTS, Liver - Male, 8 - Tissue image [9070730015331231]
Dane BadawczeThis is the histopathological image of LIVER AND INTRAHEPATIC BILE DUCTS 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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Vident-real: an intra-oral video dataset for multi-task learning
Dane BadawczeWe introduce Vident-real, a large dataset of 100 video sequences of intra-oral scenes from real conservative dental treatments performed at the Medical University of Gdańsk, Poland. The dataset can be used for multi-task learning methods including:
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Keratin 7 expression in lymph node metastases but not in the primary tumour correlates with distant metastases and poor prognosis in colon carcinoma
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Analysis of Mitochondrial Genome from Labrador (Canis lupus familiaris) with Mammary Gland Tumour Reveals Novel Mutations and Polymorphisms
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Modulation of CYP3A4 activity and induction of apoptosis, necrosis and senescence by the anti-tumour imidazoacridinone C-1311 in human hepatoma cells
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In vitro enzyme kinetics and NMR-based product elucidation for glutathione S-conjugation of the anticancer unsymmetrical bisacridine C-2028 in liver microsomes and cytosol: major role of glutathione S-transferase M1-1 isoenzyme
PublikacjaThis work is the next step in studying the interplay between C-2028 (anticancer-active unsymmetrical bisacridine developed in our group) and the glutathione S-transferase/glutathione (GST/GSH) system. Here, we analyzed the concentration- and pH-dependent GSH conjugation of C-2028 in rat liver microsomes and cytosol. We also applied three recombinant human GST isoenzymes, which altered expression was found in various tumors. The...
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Modified U-Net with attention gate for enhanced automated brain tumor segmentation
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Comparison of Deep Neural Network Learning Algorithms for Mars Terrain Image Segmentation
PublikacjaThis paper is dedicated to the topic of terrain recognition on Mars using advanced techniques based on the convolutional neural networks (CNN). The work on the project was conducted based on the set of 18K images collected by the Curiosity, Opportunity and Spirit rovers. The data were later processed by the model operating in a Python environment, utilizing Keras and Tensorflow repositories. The model benefits from the pretrained...
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Stage of liver fibrosis in patients with congenital bleeding disorders and infected with hepatitis C virus
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Retrospective liver histomorphological analysis in dogs in instances of clinical suspicion of congenital portosystemic shunt
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Metabolic transformations of antitumor imidazoacridinone, C-1311, with microsomal fractions of rat and human liver
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Liver steatosis correlates with iron overload but not with HFE gene mutations in chronic hepatitis C
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Effects of Resveratrol Supplementation in Patients with Non-Alcoholic Fatty Liver Disease—A Meta-Analysis
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Metabolic transformations of antitumor imidazoacridinone, C-1311, with microsomal fractions of rat and human liver
PublikacjaWykazano, że enzymatyczna aktywacja jest konieczna dla aktywności biologicznej pochodnej C-1311 (Symadex R), która znajduje się w II fazie badań klinicznych. Zbadano przemiany enzymatyczne tego związku w obecności frakcji enzymatycznych mikrosomalnych komórek wątroby szczura i ludzkiej. Badania te wykazały, że związek C-1311 jest bardziej podatny na przemiany w obecności frakcji mikrosomalnej niż S9 i cytozolowej. Inkubacja związku...
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Capecitabine and temozolomide combination for treatment of high-grade, well-differentiated neuroendocrine tumour and poorly-differentiated neuroendocrine carcinoma — retrospective analysis
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Influence of narrowband ultraviolet B phototherapy on serum tumour necrosis factor-like weak inducer of apoptosis (TWEAK) in patients with psoriasis
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Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification
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Segmentation for embryonated Egg Images Detection using the K-Means Algorithm in Image Processing
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DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation
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Segmentation of Coffee Consumers Using Sustainable Values: Cluster Analysis on the Polish Coffee Market
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Segmentation of Coffee Consumers Using Sustainable Values: Cluster Analysis on the Polish Coffee Market
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Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations
PublikacjaDeployment 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...
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Dendrimer based theranostic nanostructures for combined chemo- and photothermal therapy of liver cancer cells in vitro
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Protective Effect of Black Tea Against Ethanol-Induced Oxidative Modifications of Liver Proteins and Lipids
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Is there any association between HCV multiplication and iron induced liver injury in chronic hepatitis C?
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Coexistence of HFE and rare UGT1A1 genes mutations in patients with iron overload related liver injury
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A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments
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Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
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Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
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Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach
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Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
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Advanced Medical Image Segmentation Enhancement: A Particle Swarm Optimization-Based Histogram Equalization Approach
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Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach
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Optimizing Brain Tumor Segmentation Through CNN U-Net with CLAHE-HE Image Enhancement
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Mean Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data
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