TissueImageAnalytics / TILAb-Score

Related projects: ⓘ

• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆30Updated 11 months ago
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆63Updated last year
• alexjfoote / reetoolbox
  Toolbox for measuring adversarial robustness to many transforms
  ☆19Updated last year
• KatherLab / HIA
  Histopathology Image Analysis
  ☆89Updated last year
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆52Updated last year
• AdalbertoCq / Histomorphological-Phenotype-Learning
  Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Qu…
  ☆37Updated 2 months ago
• hacylu / FLocK
  Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors
  ☆15Updated last year
• haranrk / DigiPathAI
  Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
  ☆65Updated 11 months ago
• lucasrla / wsi-preprocessing
  Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
  ☆48Updated 11 months ago
• MarvinLer / SparseConvMIL
  Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726
  ☆25Updated 2 years ago
• vqdang / H2T
  ☆35Updated last year
• wanghao14 / Stain_Normalization
  Some stain normalization code
  ☆84Updated last year
• 4m4n5 / saasn-stain-normalization
  Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
  ☆13Updated last year
• mahmoodlab / CRANE
  Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
  ☆28Updated 2 years ago
• MaryamHaghighat / PathProfiler
  Pipeline for computational pathology
  ☆31Updated 8 months ago
• lucasrla / wsi-tile-cleanup
  Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
  ☆25Updated 3 years ago
• secrierlab / HistoMIL
  A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
  ☆26Updated 3 months ago
• SBU-BMI / quip_cancer_segmentation
  ☆15Updated 2 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆45Updated 2 years ago
• KatherLab / preProcessing
  ☆43Updated last year
• jgamper / compay-syntax
  Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
  ☆55Updated last year
• PathologyDataScience / HiPS
  Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
  ☆17Updated 5 months ago
• navidstuv / NuClick
  Interactive Segmentation of Nucleus
  ☆60Updated last year
• christianabbet / SRA
  ☆15Updated 3 months ago
• wenqi006 / SlideGraph
  ☆49Updated 2 years ago
• paip-2019 / challenge
  ☆30Updated 4 years ago
• PhilipChicco / MICCAI2020mil
  MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
  ☆36Updated 3 years ago
• sedab / PathCNN
  Pathology image classifier architecture
  ☆12Updated 4 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%.
  ☆75Updated last year
• TissueImageAnalytics / iguana
  Interpretable Gland-Graph Networks
  ☆19Updated 6 months ago