Alternatives and similar repositories for challenge

Users that are interested in challenge are comparing it to the libraries listed below

• PhilipChicco / MICCAI2020mil
  MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
  ☆38Updated 4 years ago
• PingjunChen / tissueloc
  Whole Slide Digital Pathology Image Tissue Localization
  ☆44Updated last year
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆54Updated last year
• wanghao14 / Stain_Normalization
  Some stain normalization code
  ☆88Updated 2 years ago
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆67Updated 2 years ago
• YashSharma / C2C
  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
  ☆61Updated 3 years ago
• wisepaip / paip2020
  ☆12Updated 4 years ago
• ruchikaverma-iitg / MoNuSeg
  This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.
  ☆44Updated 3 years ago
• hasibzunair / MoNuSAC-ISBI-2020
  [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.
  ☆30Updated 3 years ago
• ruchikaverma-iitg / MoNuSAC
  This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their mo…
  ☆64Updated 3 years ago
• PeterJackNaylor / DRFNS
  This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in H…
  ☆53Updated 5 years ago
• lyndonchan / hsn_v1
  HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
  ☆93Updated 5 years ago
• hacylu / FLocK
  Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors
  ☆15Updated last year
• TissueImageAnalytics / CoNIC
  CoNIC Challenge
  ☆63Updated last year
• xtarx / StainGAN
  ☆66Updated 4 years ago
• yfzon / DT-MIL
  ☆37Updated 3 years ago
• masih4 / CryoNuSeg
  This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…
  ☆38Updated 2 years ago
• DIAGNijmegen / pathology-streaming-pipeline
  Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
  ☆80Updated 2 years ago
• vqdang / H2T
  ☆35Updated 2 years ago
• MEDAL-IITB / Fast_WSI_Color_Norm
  Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology
  ☆75Updated 5 years ago
• MarvinLer / tcga_segmentation
  Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
  ☆138Updated 3 years ago
• PingjunChen / LiverCancerSeg
  PAIP2019: Liver Cancer Segmentation
  ☆33Updated last year
• haranrk / DigiPathAI
  Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
  ☆72Updated 4 months ago
• histocartography / hact-net
  ☆70Updated 3 years ago
• srinidhiPY / SSL_CR_Histo
  Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…
  ☆62Updated 3 years ago
• huiqu18 / WeaklySegPointAnno
  ☆34Updated 6 years ago
• 4m4n5 / saasn-stain-normalization
  Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
  ☆14Updated 2 years ago
• gatsby2016 / Fast-WSI-Prediction
  Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
  ☆22Updated last year
• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated last year
• christianabbet / SRA
  ☆16Updated last year