kaczmarj / HIPPOLinks
HIPPO 🦛 is an explainable AI method and toolkit for weakly-supervised models in computational pathology. It enables hypothesis testing on tissue and searching for high-effect and low-effect tissue regions.
☆16Updated last year
Alternatives and similar repositories for HIPPO
Users that are interested in HIPPO are comparing it to the libraries listed below
Sorting:
- Inference code for HoVer-NeXt☆46Updated 3 months ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆113Updated last year
- Histopathology Slides Preprocessing Pipeline☆43Updated last month
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆111Updated 2 years ago
- ☆46Updated 4 years ago
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆113Updated last year
- Training/Evaluation code for HoVer-NeXt☆17Updated 3 months ago
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆66Updated 11 months ago
- Standardized benchmark for computational pathology foundation models.☆130Updated 3 months ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆68Updated 3 years ago
- Python 3 library for the augmentation & normalization of H&E images☆64Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- 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
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago
- Solid Tumor Associative Modeling in Pathology☆110Updated 2 weeks ago
- Image-translation-assisted segmentation in 3D☆28Updated 3 years ago
- Pipeline for computational pathology☆37Updated 2 years ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆147Updated 11 months ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆27Updated last year
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆43Updated 8 months ago
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆143Updated 3 years ago
- ☆67Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆72Updated 3 years ago
- 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images☆84Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated last year
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆65Updated last year
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆164Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆83Updated 2 years ago
- Histopathology Image Analysis☆93Updated 2 years ago