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GitHub topics: histological-image-segmentation

saadwazir/HistoSeg

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

Language: Python - Size: 22.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 23 - Forks: 5

NeelKanwal/Equipping-Computational-Pathology-Systems-with-Artifact-Processing-Pipeline

computational-pathology-pipeline

Language: Python - Size: 190 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 2

changspencer/Histological_Segmentation_Eval Fork of GatorSense/Histological_Segmentation

Language: Python - Size: 1.34 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ibtihajahmadkhan/DAN-Nuc-Net

DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions

Language: Python - Size: 4.24 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Related Keywords
histological-image-segmentation 4 segmentation 3 semantic-segmentation 2 histology-images 2 classification 1 computational-pathology 1 histopathology 1 medical-images 1 preprocessing-pipeline 1 quality-control 1 reliable-diagnosis 1 deep-learning 1 histogram 1 semantic-segmentation-models 1 attention 1 dan-nucnet 1 histology 1 medical-application 1 medical-image-processing 1 medical-imaging 1 artifact-removal 1 unet-segmentation 1 unet 1 self-attention 1 segmentation-models 1 nuclie-segmentation 1 monuseg-challenge 1 monuseg 1 medical-image-segmentation 1 image-segmentation 1 histological-images 1 glas 1 focal-loss 1 dice-loss 1 deeplab-v3-plus 1 attention-mechanism 1