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histological-image-segmentation

Here are 4 public repositories matching this topic...

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

segmentation image-segmentation unet attention-mechanism glas semantic-segmentation focal-loss self-attention medical-image-segmentation histological-images deeplab-v3-plus segmentation-models unet-segmentation dice-loss monuseg monuseg-challenge histology-images nuclie-segmentation histological-image-segmentation

Updated Oct 26, 2024
Python

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

computational-pathology-pipeline

quality-control classification segmentation medical-images artifact-removal computational-pathology histopathology preprocessing-pipeline histological-image-segmentation reliable-diagnosis

Updated Jun 14, 2024
Python

ibtihajahmadkhan / DAN-Nuc-Net

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

medical-imaging attention segmentation histology medical-image-processing medical-application histology-images histological-image-segmentation dan-nucnet

Updated Jul 3, 2023
Python

changspencer / Histological_Segmentation_Eval

deep-learning histogram semantic-segmentation semantic-segmentation-models histological-image-segmentation

Updated Mar 28, 2023
Python

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