Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
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Updated
Jul 29, 2024 - Python
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Dermoscopic Image In-Context Learning (ICL) with GPT4v
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
A vision-language foundation model for computational pathology - Nature Medicine
Accelerate ingestion/transformation of pathology images into DICOMWeb
[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》
Library for Digital Pathology Image Processing
Analysis of CRISPR libraries
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024)
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
Tools for computational pathology
PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters
🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Automatic anonymization of pathological speech
A simple python program to organize a digital slide collection as an SQLite database
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
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