Maria Rosan Trani, Imelda Bilocura, Shazna Bersabal, Rhea Karla Panilagao, Bj Rosos Toledo, Eduardo Garrido, Crystal Aultman, Paul Oh, Gabriela Lima de Melo Ghisi
Effects of a comprehensive structured patient education intervention on disease-related knowledge and behaviour change among people living with type 2 diabetes in the Philippines
Frontiers in rehabilitation sciences
clinically histopathology images always offer golden standard disease diagnosis development artificial intelligence digital histopathology significantly improves efficiency diagnosis nevertheless noisy labels inevitable histopathology images lead poor algorithm efficiency curriculum learning one typical methods solve problems however existing curriculum learning methods either fail measure training priority difficult samples noisy ones need extra clean dataset establish valid curriculum scheme therefore new curriculum learning paradigm designed based proposed ranking function named ranking margins trm ranking function measures distances samples decision boundaries helps distinguish difficult samples noisy ones proposed method includes three stages warmup stage main training stage finetuning stage warmup stage margin sample obtained ranking function main training stage samples progressively fed networks training starting larger margins smaller ones label correction also performed stage finetuning stage networks retrained samples corrected labels addition provide theoretical analysis guarantee feasibility trm experiments two representative histopathologies image datasets show proposed method achieves substantial improvements latest label noise learning lnl methods