IEEE

Focus Your Attention: Multiple Instance Learning With Attention Modification for Whole Slide Pathological Image Classification

Abstract: Computer-aided pathology diagnosis based on whole slide images, which is often formulated as a weakly supervised multiple instance learning (MIL) paradigm. Current approaches generally ...
Reuters

Biden approval polling tracker

You need to know It's important to check the credibility interval when looking at different demographics in this poll. Credibility interval measures the level of precision, and polls of smaller ...
IEEE

From the Lab to the ICU: Video-Based Facial Pain Assessment Using a Differential Multiple Instance Learning Network

Abstract: Pain is a stressor for intensive care unit (ICU) patients, and inadequate pain assessment has been linked to increased morbidity and mortality. Machine learning has demonstrated potential in ...
GitHub

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

This repository contains the official implementation of the paper: MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis, MICCAI2025. If you have any questions, ...
GitHub

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

The ProtoMIL approach consists of the following three stages. The probing image set is constructed by randomly sampling 10K normal patches and 10K tumor patches from the downstream task training set.
Frontiers

Automated tumor regression grade assessment and survival prediction in esophageal cancer via weakly supervised multiple instance learning

Introduction: Esophageal cancer remains a major global health burden and is among the leading causes of cancer-related deaths. Accurate evaluation of tumor regression grade (TRG) after neoadjuvant ...