Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
IEEE

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...
chromatographyonline

Beyond High-Accuracy Mass Spectrometry: Why Chromatographic Retention Time Must Reclaim Its Role in Analyte Identification

Μetabolomics enables the comprehensive profiling of small molecules in medicine, plant science, and systems biology. Its true value depends not on the number of detected features but on the ...
GitHub

ADORE: A benchmark dataset for machine learning in ecotoxicology

The ADORE dataset serves as a benchmark to explore the potential and limitations of machine learning in ecotoxicology. It focuses on acute mortality in fish, crustaceans, and algae. It has been ...