Alternatives and similar repositories for UNMaSk

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

• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆35Updated 2 years ago
• cpath-ukk / lung_cancer
  ☆16Updated 9 months ago
• 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…
  ☆73Updated 8 months ago
• Path-AI / hif2gene
  Data and code to accompany our Nature publication
  ☆46Updated 3 years ago
• cpath-ukk / grandqc
  GrandQC tool for tissue detection and quality control in pathology
  ☆71Updated 7 months ago
• secrierlab / HistoMIL
  A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
  ☆29Updated last year
• BiomedicalMachineLearning / HEMnet
  A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues
  ☆32Updated 9 months ago
• MaryamHaghighat / PathProfiler
  Pipeline for computational pathology
  ☆38Updated last year
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆37Updated 2 years ago
• andreped / NoCodeSeg
  🔬 Code-free deep segmentation for computational pathology
  ☆56Updated last year
• wenqi006 / SlideGraph
  ☆57Updated 3 years ago
• jlevy44 / WSI-GTFE
  Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
  ☆23Updated 5 years ago
• markowetzlab / pathml
  A Python library for deep learning on whole-slide images
  ☆54Updated 3 years ago
• KatherLab / deepmed
  ☆49Updated 3 years ago
• sebastianffx / stainlib
  Python 3 library for the augmentation & normalization of H&E images
  ☆61Updated 3 years ago
• AIRMEC / HECTOR
  Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
  ☆44Updated 10 months ago
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆69Updated 2 years ago
• Cassie07 / Review_Molecular_profile_prediction_GNN
  [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…
  ☆24Updated 2 years ago
• KatherLab / cancer-metadata
  machine-readable information for the TCGA dataset, mirrored from other sources
  ☆21Updated 3 years ago
• huangzhii / IMPRESS
  ☆20Updated 2 years ago
• KatherLab / preProcessing
  ☆45Updated 2 years ago
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆77Updated 4 years ago
• drmaxchen-gbc / HCC-deep-learning
  HCC_Deep_learning
  ☆19Updated 5 years ago
• choosehappy / PatchSorter
  A tool for rapidly labeling objects using deep learning feature embedding
  ☆33Updated 2 months ago
• lucasrla / wsi-tile-cleanup
  Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
  ☆28Updated 5 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆55Updated 3 years ago
• fmhoward / HistoXGAN
  Accurate encoding of histologic images into StyleGAN space for discovery and explainability
  ☆13Updated 3 weeks ago
• SBU-BMI / quip_cancer_segmentation
  ☆17Updated 3 years ago
• peng-lab / HistoBistro
  Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
  ☆83Updated last year
• DataX-JieHao / PAGE-Net
  A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data
  ☆18Updated 5 years ago