IEEE

Knowledge-Driven Multiple Instance Learning With Hierarchical Cluster-Incorporated Aware Filtering for Larynx Pathological Grading

Abstract: Pathological grading of laryngeal squamous cell carcinoma (LSCC) based on whole-slide image (WSI) is crucial for the diagnosis, treatment and prognosis. According to pathologists’ knowledge, ...
IEEE

Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data

Abstract: This paper introduces a novel algorithm called Ant-based Feature and Instance Selection. This new algorithm addresses the simultaneous selection of instances and features for mixed, ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

ISBNet Building Instance Segmentation for Aerial Urban Point Clouds

This repository contains a lightweight, reproducible project for building-only instance segmentation on aerial urban point clouds. It was organized from a Sun Yat-sen University Computer Vision and ...
Journal of Medical Internet Research

Simulation-Based Learning Supported by Technology to Enhance Critical Thinking in Nursing Students: Scoping Review

Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...