AMLab-Amsterdam / AttentionDeepMILLinks
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
☆947Updated last year
Alternatives and similar repositories for AttentionDeepMIL
Users that are interested in AttentionDeepMIL are comparing it to the libraries listed below
Sorting:
- TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification☆444Updated last year
- ☆345Updated 4 years ago
- Attention-based Deep MIL implementation and application☆157Updated 3 years ago
- DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image☆449Updated last year
- Tools for tissue image stain normalisation and augmentation in Python 3☆345Updated 4 years ago
- The PatchCamelyon (PCam) deep learning classification benchmark.☆510Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆769Updated 5 months ago
- Generation of 3D/ 2D attention maps for both classification and segmentation☆329Updated 4 months ago
- Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma sli…☆510Updated last year
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learning☆131Updated 6 years ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,021Updated 5 years ago
- Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)☆597Updated last year
- Python Whole Slide Image Preprocessing☆296Updated 3 years ago
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory☆455Updated last year
- Uncertainty in Medical Image Analysis☆318Updated 4 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆800Updated 5 years ago
- Open source tools for computational pathology - Nature BME☆1,509Updated 7 months ago
- Pytorch implementation of three Multiple Instance Learning or Multi-classification papers☆133Updated 6 years ago
- Fusing Histology and Genomics via Deep Learning - IEEE TMI☆327Updated 3 years ago
- Top 1 solution of Chexpert☆273Updated 3 years ago
- Invariant Information Clustering for Unsupervised Image Classification and Segmentation☆891Updated 4 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆564Updated 2 years ago
- Implementation of Camelyon'16 grand challenge☆183Updated 6 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,164Updated 8 months ago
- Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.☆660Updated 2 years ago
- PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks☆323Updated 5 years ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆745Updated 7 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,643Updated 5 years ago
- Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…☆217Updated 6 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆402Updated 5 years ago