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 ...
The Lancet

End-to-end deep learning model for the diagnosis and segmentation of primary retroperitoneal neoplasm: a multicenter cohort study

aDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China bDepartment of Radiology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China ...