willgdjones / HistoVAE
This repository contains work towards HistoVAE: creating meaningful representations of Histopathology images using Variational Autoencoders.
☆10Updated 2 years ago
Alternatives and similar repositories for HistoVAE:
Users that are interested in HistoVAE are comparing it to the libraries listed below
- A Fast Whole-slide image Annotation Tool (FWAT) for conducting painless studies requiring annotations on whole-slide images.☆11Updated 6 years ago
- Suspicious Regions-Based Whole Slide Image Analysis☆10Updated 2 years ago
- Handling whole-slide images with region-level annotations.☆10Updated 6 years ago
- Pan-cancer tils analysis study by Hongming Xu☆13Updated 4 years ago
- a toolbox for manipulation of digital pathology slides and annotations☆19Updated 4 years ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- Repository for DCIS segmentation pipeline☆12Updated 2 years ago
- Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Mi…☆18Updated 4 years ago
- ☆9Updated 3 years ago
- CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images☆10Updated 6 years ago
- An optimized pipeline for working with Whole Slide Image (WSI) data in Tensorflow☆15Updated 3 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology☆40Updated 2 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆9Updated 3 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆27Updated 4 years ago
- ☆20Updated 3 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- ☆43Updated 2 years ago
- HCC_Deep_learning☆19Updated 4 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 4 years ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆23Updated 4 years ago
- A Python library of pre- and post-processing tools for applying deep learning to whole-slide images☆18Updated 2 years ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated 2 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- 🚀 H2G-Net: Segmentation of breast cancer region from whole slide images☆25Updated 5 months ago
- Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Patholog…☆16Updated 3 years ago
- H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net☆9Updated 8 months ago
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 3 years ago
- Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area☆50Updated 4 years ago