Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification

基于最大池化的多实例学习实现更鲁棒的全切片图像分类.

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

DTFD-MIL: 用于组织病理学全切片图像分类的双层特征蒸馏多实例学习.

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

掩码难实例挖掘的全切片图像分类多实例学习.

Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning

弱监督多实例学习图像分类中的核自注意力.

Deep Multiple Instance Learning with Distance-Aware Self-Attention

使用距离感知自注意力的深度多实例学习.

Deep Multi-instance Learning with Dynamic Pooling

动态池化的深度多实例学习.