IEEE

A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...
IEEE

Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC

Abstract: Accurate classification of non-small cell lung cancer (NSCLC) subtypes is crucial for implementing effective, personalized treatment strategies. This study introduces a novel 3D multimodal ...