Alternatives and similar repositories for HistoPrep

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

• georg-wolflein / good-features
  Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"
  ☆18Updated last year
• sebastianffx / stainlib
  Python 3 library for the augmentation & normalization of H&E images
  ☆58Updated 2 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
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆57Updated 2 years ago
• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆35Updated last year
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆54Updated 3 years ago
• MaryamHaghighat / PathProfiler
  Pipeline for computational pathology
  ☆38Updated last year
• mahmoodlab / CRANE
  Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
  ☆32Updated 3 years ago
• andreped / fast-stain-normalization
  GPU-accelerated stain normalization command line tool
  ☆22Updated last year
• secrierlab / HistoMIL
  A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
  ☆30Updated last year
• ilmaro8 / Multiple_Instance_Learning_instance_based
  ☆15Updated 2 years ago
• clemsgrs / hs2p
  Histopathology Slides Preprocessing Pipeline
  ☆42Updated 5 months ago
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆37Updated 2 years ago
• andreped / NoCodeSeg
  🔬 Code-free deep segmentation for computational pathology
  ☆55Updated last year
• scjjb / DRAS-MIL
  Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
  ☆11Updated last year
• 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.
  ☆105Updated 9 months ago
• alexjfoote / reetoolbox
  Toolbox for measuring adversarial robustness to many transforms
  ☆19Updated 4 months ago
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆36Updated 4 years ago
• KatherLab / preProcessing
  ☆45Updated 2 years ago
• markowetzlab / pathml
  A Python library for deep learning on whole-slide images
  ☆53Updated 3 years ago
• javadnoorb / HistCNN
  A set of codes to classify H&E slides using deep learning
  ☆30Updated 3 years ago
• vqdang / H2T
  ☆35Updated 2 years ago
• jlevy44 / WSI-GTFE
  Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
  ☆23Updated 5 years ago
• stanfordmlgroup / DLBCL-Morph
  DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …
  ☆37Updated 4 years ago
• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated 2 years ago
• kevindehaan / stain-transformation
  ☆42Updated 3 years ago
• SBU-BMI / quip_cancer_segmentation
  ☆17Updated 3 years ago
• SHIDCenter / PathoNet
  ☆35Updated 2 years ago
• DIAGNijmegen / panda-challenge
  Code related to the PANDA challenge on artificial intelligence for Gleason grading
  ☆18Updated 3 years ago
• MarvinLer / SparseConvMIL
  Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726
  ☆25Updated 3 years ago