Alternatives and similar repositories for style-transfer-for-digital-pathology

Users that are interested in style-transfer-for-digital-pathology are comparing it to the libraries listed below

• kevindehaan / stain-transformation
  ☆46Updated 3 years ago
• 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
• TissueImageAnalytics / CoNIC
  CoNIC Challenge
  ☆68Updated last year
• EIDOSLAB / UNITOPATHO
  Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…
  ☆34Updated 2 years ago
• christianabbet / SRA
  ☆16Updated last year
• mahmoodlab / CRANE
  Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
  ☆33Updated 3 years ago
• TencentAILabHealthcare / SETMIL
  ☆11Updated 3 years ago
• jlevy44 / WSI-GTFE
  Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
  ☆23Updated 5 years ago
• pegahsalehi / Stain-to-Stain-Translation
  Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis
  ☆33Updated 5 years ago
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆35Updated 4 years ago
• davidtellez / neural-image-compression
  Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis
  ☆50Updated 2 years ago
• jamesdolezal / biscuit
  Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
  ☆30Updated 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
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆54Updated 3 years ago
• sophiajw / HistAuGAN
  ☆44Updated 3 years ago
• SBU-BMI / quip_cancer_segmentation
  ☆17Updated 3 years ago
• histocartography / hact-net
  ☆71Updated 4 years ago
• ZeyuGaoAi / Instance_based_Vision_Transformer
  Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021
  ☆17Updated last year
• modelhub-ai / deep-prognosis
  ☆14Updated 6 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%.
  ☆79Updated 2 years ago
• StandWisdom / Radiopathomics-pCR-nCRT
  Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…
  ☆22Updated 4 years ago
• 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
• hacylu / FLocK
  Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors
  ☆16Updated 2 years ago
• YohnGuan / NAGCN
  ☆24Updated 3 years ago
• TencentAILabHealthcare / ReMix
  ☆17Updated 2 years ago
• andreped / fast-stain-normalization
  GPU-accelerated stain normalization command line tool
  ☆22Updated last year
• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated 2 years ago
• mahmoodlab / varpool
  Variance pooling to incorporate ITH in CPath models - MICCAI 2022
  ☆26Updated 2 years ago
• LGQ330 / Cx22
  ☆19Updated last year
• hasibzunair / MoNuSAC-ISBI-2020
  [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.
  ☆31Updated 4 years ago