Alternatives and similar repositories for ITAS3D

Users that are interested in ITAS3D are comparing it to the libraries listed below

• peng-lab / HistoBistro
  Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
  ☆83Updated 2 years ago
• mahmoodlab / TriPath
  Analysis of 3D pathology samples using weakly supervised AI - Cell
  ☆113Updated last year
• Biooptics2021 / PathFinder
  ☆57Updated 2 years ago
• wenqi006 / SlideGraph
  ☆57Updated 4 years ago
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆72Updated 3 years ago
• whiteyunjie / ROAM
  A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…
  ☆39Updated last year
• AIRMEC / HECTOR
  Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
  ☆44Updated last year
• MathOnco / valis
  Virtual Alignment of pathoLogy Image Series
  ☆205Updated 7 months ago
• DIAGNijmegen / pathology-hooknet
  ☆67Updated last year
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆38Updated 2 years ago
• AI4SCR / VirtualMultiplexer
  A generative toolkit to translate H&E images to multiplexed IHC
  ☆61Updated last year
• MWod / DeeperHistReg
  DeeperHistReg - Source Code
  ☆91Updated last year
• impromptuRong / hd_wsi
  ☆36Updated 10 months ago
• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆36Updated 2 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.
  ☆110Updated 3 months ago
• okunator / cellseg_models.pytorch
  Encoder-Decoder Cell and Nuclei segmentation models
  ☆95Updated 2 months ago
• taliq / TEA-graph
  First commit
  ☆65Updated 3 years ago
• andreped / NoCodeSeg
  🔬 Code-free deep segmentation for computational pathology
  ☆56Updated last year
• Paige-AI / paige-ml-sdk
  This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…
  ☆43Updated 8 months ago
• hms-dbmi / MOMA
  MOMA
  ☆53Updated last year
• cpath-ukk / grandqc
  GrandQC tool for tissue detection and quality control in pathology
  ☆80Updated last month
• KatherLab / HIA
  Histopathology Image Analysis
  ☆93Updated 2 years ago
• KatherLab / STAMP
  Solid Tumor Associative Modeling in Pathology
  ☆110Updated 2 weeks ago
• kevindehaan / stain-transformation
  ☆46Updated 4 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆55Updated 3 years ago
• KatherLab / marugoto
  Tools to build deep learning pipelines.
  ☆113Updated last year
• open-pathology / awesome-pathology
  Awesome List of Digital and Computational Pathology Resources
  ☆103Updated 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…
  ☆80Updated last year
• wangxiaodong1021 / HCC_Prognostic
  Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning
  ☆45Updated 5 years ago
• PathologyDataScience / HiPS
  Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
  ☆32Updated last year