Alternatives and similar repositories for hms2:

Users that are interested in hms2 are comparing it to the libraries listed below

• aetherAI / whole-slide-cnn
  This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …
  ☆62Updated 3 years ago
• hms-dbmi / MOMA
  MOMA
  ☆51Updated 10 months ago
• clemsgrs / hipt
  Re-implementation of HIPT
  ☆19Updated last month
• DIAGNijmegen / pathology-streaming-pipeline
  Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
  ☆75Updated 2 years ago
• histocartography / zoommil
  ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…
  ☆63Updated 2 years ago
• aetherAI / tensorflow-huge-model-support
  This library is designed to speed up huge model training on unified memory.
  ☆27Updated 3 years ago
• yiqings / RandStainNA
  RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
  ☆53Updated 2 years ago
• yfzon / DT-MIL
  ☆36Updated 3 years ago
• vqdang / H2T
  ☆36Updated last year
• cvlab-stonybrook / local_learning_wsi
  Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"
  ☆27Updated 2 years ago
• zihou98 / BCL
  A bayesian collaborative learning framework for whole-slide image classification
  ☆25Updated last year
• rshwndsz / hover-net
  PyTorch implementation of HoverNet as described in https://arxiv.org/abs/1812.06499
  ☆22Updated 4 years ago
• andreped / fast-stain-normalization
  GPU-accelerated stain normalization command line tool
  ☆19Updated last year
• YashSharma / C2C
  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
  ☆60Updated 3 years ago
• msahasrabudhe / miccai2020_self_sup_nuclei_seg
  Self-supervised nuclei segmentation (MICCAI 2020)
  ☆42Updated 3 years ago
• KatherLab / end2end-WSI-preprocessing
  End-to-end pipeline to go from raw H&E slides to normalised extracted features for training
  ☆23Updated 10 months ago
• TissueImageAnalytics / cerberus
  One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
  ☆80Updated 2 months ago
• lifangda01 / AdaptiveSupervisedPatchNCE
  ☆26Updated 3 weeks ago
• JarveeLee / HybridSupervisionLearning_Pathology
  Public code for Hybrid Supervision Learning for Pathology Whole Slide Image Classification, MICCAI2021
  ☆12Updated 3 years ago
• KatherLab / HIA
  Histopathology Image Analysis
  ☆93Updated last year
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆52Updated last year
• TissueImageAnalytics / PanNuke-metrics
  Evaluation code for the PanNuke dataset
  ☆26Updated 4 years ago
• DIAGNijmegen / pathology-whole-slide-data
  A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
  ☆96Updated 2 months ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆50Updated 2 years ago
• lunit-io / benchmark-ssl-pathology
  Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
  ☆81Updated last year
• clemsgrs / hs2p
  Histopathology Slides Preprocessing Pipeline
  ☆36Updated last month
• Mr-TalhaIlyas / TSFD
  Nuclei segmentation and classification (Cancer cells)
  ☆22Updated 7 months ago
• DIAGNijmegen / pathology-hooknet
  ☆56Updated 4 months ago
• invoker-LL / Long-MIL
  LongMIL for WSI analysis with extrapolation positional embedding
  ☆9Updated last month