BohriumKwong / using-weakly-supervised-deep-learning-on-whole-slide-images
base on MIL method
☆14Updated 8 months ago
Alternatives and similar repositories for using-weakly-supervised-deep-learning-on-whole-slide-images:
Users that are interested in using-weakly-supervised-deep-learning-on-whole-slide-images are comparing it to the libraries listed below
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 4 years ago
- ☆37Updated 3 years ago
- Contains codes of DeepAttnMISL in MEDIA'20☆57Updated 4 years ago
- Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis☆26Updated last year
- Public code for Hybrid Supervision Learning for Pathology Whole Slide Image Classification, MICCAI2021☆12Updated 3 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images☆34Updated last year
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- A simple tool used for normalize whole slide images, support macenko, reinhard, vahadane (GPU accelerate)☆20Updated 5 months ago
- ☆70Updated 3 years ago
- Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images☆27Updated last year
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆25Updated last year
- ☆35Updated 2 years ago
- Python library for processing whole slide images (WSIs) in sdpc format☆51Updated 2 months ago
- Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Cla…☆34Updated last year
- ☆49Updated 3 months ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆146Updated 11 months ago
- [ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis☆21Updated 11 months ago
- ☆29Updated last year
- ☆53Updated 3 years ago
- WSI处理工具☆22Updated 3 years ago
- ☆26Updated 2 years ago
- ☆25Updated 2 months ago
- Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)☆87Updated last month
- CVPR 2023 Highlight☆84Updated last year
- MICCAI2021 Paper: Self-supervised visual representation learning for histopathological images☆27Updated 2 years ago
- [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning☆83Updated last year
- ☆62Updated 2 years ago
- ☆51Updated last year
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year