DIAGNijmegen / pathology-hooknet
☆57Updated 5 months ago
Alternatives and similar repositories for pathology-hooknet:
Users that are interested in pathology-hooknet are comparing it to the libraries listed below
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆139Updated 10 months ago
- ☆36Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- DeeperHistReg - Source Code☆50Updated 10 months ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆52Updated 2 years ago
- Histopathology Image Analysis☆92Updated last year
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆97Updated 3 months ago
- Histopathology Slides Preprocessing Pipeline☆36Updated this week
- Python library for processing whole slide images (WSIs) in sdpc format☆50Updated last month
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆82Updated 3 months ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆24Updated last year
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 11 months ago
- ☆52Updated 3 years ago
- ☆70Updated 3 years ago
- Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images☆25Updated 2 years ago
- ☆48Updated 2 months ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆36Updated 7 months ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆131Updated 3 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆64Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- ☆13Updated 3 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆28Updated 9 months ago
- Pipeline for computational pathology☆34Updated last year
- Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks☆24Updated last year
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆48Updated 3 months ago
- GPU-accelerated stain normalization command line tool☆19Updated last year
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago