Alternatives and similar repositories for NucleiSegNet:

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

• vqdang / H2T
  ☆35Updated 2 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆52Updated 2 years ago
• wenqi006 / SlideGraph
  ☆52Updated 3 years ago
• DIAGNijmegen / pathology-hooknet
  ☆57Updated 6 months ago
• smujiang / Re-stained_WSIs_Registration
  Re-stained whole slide image alignment
  ☆32Updated last year
• simongraham / hovernet_inference
  HoVer-Net inference code for simultaneous nuclear segmentation and classification
  ☆66Updated 2 years ago
• hasibzunair / MoNuSAC-ISBI-2020
  [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.
  ☆30Updated 3 years ago
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆36Updated 4 years ago
• MSKCC-Computational-Pathology / DMMN
  Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images
  ☆25Updated 2 years ago
• alexjfoote / reetoolbox
  Toolbox for measuring adversarial robustness to many transforms
  ☆19Updated 2 years ago
• PathologyDataScience / HiPS
  Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
  ☆24Updated 11 months ago
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆36Updated last year
• DataX-JieHao / PAGE-Net
  A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data
  ☆19Updated 4 years ago
• nauyan / NucleiSegmentation
  The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
  ☆30Updated 2 years ago
• mahmoodlab / Patch-GCN
  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
  ☆141Updated 10 months ago
• histocartography / hact-net
  ☆70Updated 3 years ago
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆52Updated last year
• Mr-TalhaIlyas / TSFD
  Nuclei segmentation and classification (Cancer cells)
  ☆23Updated 9 months ago
• SBU-BMI / quip_cancer_segmentation
  ☆15Updated 2 years ago
• TissueImageAnalytics / CoNIC
  CoNIC Challenge
  ☆63Updated last year
• MWod / DeeperHistReg
  DeeperHistReg - Source Code
  ☆51Updated 10 months ago
• PhilipChicco / MICCAI2020mil
  MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
  ☆37Updated 4 years ago
• KatherLab / preProcessing
  ☆42Updated last year
• jpjuvo / camelyon17-multilevel
  Multilevel cnn notebooks for Camelyon17
  ☆19Updated 5 years ago
• TissueImageAnalytics / cerberus
  One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
  ☆82Updated 3 months ago
• pjl54 / WSI_handling
  Class for getting ROIs and masks from annotated pyramidal images. A work in progress.
  ☆12Updated 3 years ago
• TopoXLab / MCSpatNet
  Repository for ICCV2021 MCSpatNet: Multi-Class Cell Detection Using Spatial Context Representation
  ☆22Updated last year
• KatherLab / HIA
  Histopathology Image Analysis
  ☆93Updated last year
• mahmoodlab / CRANE
  Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
  ☆31Updated 2 years ago
• Paige-AI / paige-ml-sdk
  This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…
  ☆36Updated 7 months ago