News-Medical.Net on MSN

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
IEEE

Integrating Distribution Matching into Semi-Supervised Contrastive Learning for Labeled and Unlabeled Data

Abstract: The advancement of deep learning has greatly improved supervised image classification. However, labeling data is costly, prompting research into unsupervised learning methods such as ...
IEEE

Semi-Supervised Contrastive Learning for Breast Cancer Diagnosis in Ultrasound Imaging: a Unified Framework with Auxiliary System

Abstract: To address the domain gap between natural and medical images, this study proposes a semi-supervised contrastive learning framework based on SimCLR for model pre-training. By fine-tuning the ...
GitHub

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Automated polyp counting in colonoscopy is a crucial step toward automated procedure reporting and quality control, aiming to enhance the cost-effectiveness of colonoscopy screening. Counting polyps ...

Language shapes visual processing in both human brains and AI models, study finds

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GitHub

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning

Authors: Jian Zhu, Xin Zou, Jun Sun, Cheng Luo, Lei Liu, Lingfang Zeng, Ning Zhang, Bian Wu, Chang Tang, Lirong Dai. This repo contains the code and data of Mixture of Ego-Graphs Contrastive ...
BBC

Unit 1: English In A Minute

Welcome to English In A Minute. Give us a minute and we'll give you a hot tip about English. Grammar, vocabulary... there's so much to learn! And all taught by your favourite BBC Learning English ...