Alternatives and similar repositories for CRANE

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

• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated 2 years ago
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆57Updated 2 years ago
• lucasrla / wsi-preprocessing
  Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
  ☆56Updated 2 years ago
• KatherLab / preProcessing
  ☆46Updated 2 years ago
• TissueImageAnalytics / CoNIC
  CoNIC Challenge
  ☆69Updated last year
• wenqi006 / SlideGraph
  ☆57Updated 3 years ago
• kevindehaan / stain-transformation
  ☆46Updated 4 years ago
• vqdang / H2T
  ☆37Updated 2 years ago
• andreped / fast-stain-normalization
  GPU-accelerated stain normalization command line tool
  ☆24Updated 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.
  ☆59Updated 4 years ago
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆38Updated 2 years ago
• mahmoodlab / varpool
  Variance pooling to incorporate ITH in CPath models - MICCAI 2022
  ☆26Updated 3 years ago
• DIAGNijmegen / pathology-hooknet
  ☆67Updated last year
• franciszchen / PTree-Net
  The source code of 'Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring' …
  ☆24Updated 4 years ago
• histocartography / hact-net
  ☆71Updated 4 years ago
• KatherLab / end2end-WSI-preprocessing
  End-to-end pipeline to go from raw H&E slides to normalised extracted features for training
  ☆27Updated last year
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆34Updated 4 years ago
• clemsgrs / hs2p
  Histopathology Slides Preprocessing Pipeline
  ☆42Updated last week
• xhangchen / MRAN
  Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis
  ☆25Updated 2 years ago
• DataX-JieHao / PAGE-Net
  A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data
  ☆18Updated 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
  ☆142Updated 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.
  ☆107Updated 2 months ago
• mahmoodlab / SISH
  Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
  ☆109Updated 2 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆55Updated 3 years ago
• hrlblab / CS-MIL
  ☆55Updated 9 months ago
• MarvinLer / SparseConvMIL
  Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726
  ☆26Updated 4 years ago
• KatherLab / STAMP
  Solid Tumor Associative Modeling in Pathology
  ☆105Updated this week
• Paige-AI / paige-ml-sdk
  This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…
  ☆42Updated 8 months ago
• histocartography / seg-gini
  SEGmentation using Graphs with Inexact aNd Incomplete labels
  ☆21Updated 3 years ago
• liupei101 / AdvMIL
  AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)
  ☆39Updated 2 years ago