Clustering Based Double-Stream Multi-Instance Learning for Whole Slide Image Classification

[OneKE] [ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Julia implementation of Decision Tree (CART) and Random Forest algorithms

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

EyeQ : Dataset of Retinal Image Quality Assessment

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.