Jia-Lun Huang

Slice-Level Deep Learning Classification of Acute Cholecystitis on Contrast-Enhanced CT: A Single-Center Benchmark of Six CNN Architectures

Background/Objectives: Acute cholecystitis requires timely diagnosis, yet contrast-enhanced computed tomography (CT) interpretation can be challenging under a high radiology workload. This proof-of-concept study benchmarked convolutional neural network (CNN) architectures for slice-level classification, not a clinicall...