zaritskylab / DISCOVERLinks
Visual interpretability of image-based classification models by generative latent space disentanglement
☆12Updated last month
Alternatives and similar repositories for DISCOVER
Users that are interested in DISCOVER are comparing it to the libraries listed below
Sorting:
- Easy Volumetric Segmentation with Deep Learning☆26Updated 2 weeks ago
- Segment Anything for Microscopy☆571Updated this week
- Stain normalization tools for histological analysis and computational pathology☆150Updated 6 months ago
- Codebase for "A Foundation Model for Cell Segmentation"☆100Updated last week
- CellViT: Vision Transformers for Precise Cell Segmentation and Classification☆314Updated 2 weeks ago
- Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.☆100Updated last week
- QuPath extension for Segment Anything Model (SAM)☆114Updated 2 weeks ago
- Computational Pathology Toolbox developed by TIA Centre, University of Warwick.☆455Updated this week
- Ressources of histopathology datasets☆448Updated last month
- ☆89Updated 2 months ago
- Powerful, open-source AI tools for digital pathology.☆320Updated 2 weeks ago
- MESCnn: MESC classification by neural network☆9Updated last year
- PAthological QUpath Obsession - QuPath and Python conversations☆118Updated 7 months ago
- Encoder-Decoder Cell and Nuclei segmentation models☆92Updated 2 weeks ago
- Blazing fast nuclei segmentation for brightfield Whole Slide Images☆36Updated 6 months ago
- Virtual Alignment of pathoLogy Image Series☆171Updated last month
- HistoQC is an open-source quality control tool for digital pathology slides☆300Updated 2 weeks ago
- ☆176Updated last month
- ☆91Updated last week
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆157Updated last year
- Interpretable Gland-Graph Networks☆22Updated last year
- Segment Anything for Histopathology☆39Updated last month
- Evaluation framework for oncology foundation models (FMs)☆112Updated this week
- Python code to read/write .annotation files from Halo☆10Updated 5 months ago
- Official implementation of "A novel deep learning-based 3D cell segmentation framework for future image-based disease detection". (Howeve…☆22Updated 2 years ago
- Utilities for building and using the CEM dataset for unsupervised pre-training and downstream tasks.☆29Updated 2 years ago
- Open source Python library for building bioimage analysis pipelines☆177Updated this week
- 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images☆75Updated last year
- Strip potentially identifying label and macro images from Aperio SVS whole slide image files☆35Updated last year
- ☆34Updated 4 months ago