Alternatives and similar repositories for in-silico-labeling

Users that are interested in in-silico-labeling are comparing it to the libraries listed below

• AllenCellModeling / pytorch_fnet
  Three dimensional cross-modal image inference
  ☆158Updated 4 years ago
• carpenterlab / unet4nuclei
  U-net based segmentation of nuclei in microscopy images
  ☆52Updated 7 years ago
• CovertLab / DeepCell
  ☆50Updated 7 years ago
• blakeliu / awesome-cell-detection-segmentation
  nucleus/cell and histopathology image classification,detection,segmentation
  ☆260Updated 4 years ago
• Lopezurrutia / DSB_2018
  ☆62Updated 7 years ago
• google / microscopeimagequality
  ☆91Updated last year
• cxhernandez / cellcount
  A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
  ☆60Updated 6 years ago
• lmb-freiburg / Unet-Segmentation
  The U-Net Segmentation plugin for Fiji (ImageJ)
  ☆90Updated 2 years ago
• spreka / biomagdsb
  This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 201…
  ☆55Updated 5 years ago
• mitkovetta / staining-normalization
  Staining unmixing and normalization for histopathology images.
  ☆47Updated 6 years ago
• oist / Usiigaci
  Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
  ☆197Updated 5 years ago
• choosehappy / public
  ☆77Updated 9 months ago
• arjunvekariyagithub / camelyon16-grand-challenge
  Implementation of Camelyon'16 grand challenge
  ☆183Updated 6 years ago
• jacobkie / 2018DSB
  2018 Data Science Bowl 2nd Place Solution
  ☆103Updated 7 years ago
• CODAIT / deep-histopath
  A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
  ☆208Updated 6 years ago
• WeidiXie / cell_counting_v2
  ☆121Updated 8 years ago
• alexxijielu / paired_cell_inpainting
  Self-supervised learning for microscopy images
  ☆55Updated 6 years ago
• CellProfiler / CellProfiler-Analyst
  Open-source software for exploring and analyzing large, high-dimensional image-derived data.
  ☆159Updated last month
• vanvalenlab / deepcell-tf
  Deep Learning Library for Single Cell Analysis
  ☆465Updated last year
• btcrabb / SlideSeg
  A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
  ☆80Updated 3 years ago
• google / ffn
  Flood-Filling Networks for instance segmentation in 3d volumes.
  ☆337Updated this week
• ncoudray / DeepPATH
  Classification of Lung cancer slide images using deep-learning
  ☆514Updated 11 months ago
• DigitalSlideArchive / HistomicsTK
  A Python toolkit for pathology image analysis algorithms.
  ☆443Updated last week
• MLNeurosurg / srh_cnn
  Code repository for our paper titled "Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neura…
  ☆52Updated 5 years ago
• PathologyDataScience / SCNN
  Survival Convolutional Neural Networks
  ☆68Updated 2 years ago
• jgamper / compay-syntax
  Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
  ☆55Updated 2 years ago
• KChen89 / Cell-Nuclei-Detection-and-Segmentation
  Detect location and draw boundary of nuclei from microscopic images
  ☆75Updated 4 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆118Updated 2 years ago
• Borda / dataset-histology-landmarks
  Dataset: landmarks for registration of histology images
  ☆33Updated 4 years ago
• jnkather / MSIfromHE
  predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer
  ☆103Updated 6 years ago