◆ Radiology Artificial Intelligence2026-04-08· Medicine
Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities at Routine Second Trimester US Scan: A Multicenter Study
Ruben Ramirez Zegarra, Alessandra Familiari, A. Dall’Asta, C. Di Ilio, B. Valentini, Tiziana Fanelli, Paolo Volpe, M. Minopoli, Basky Thilaganathan, E. Quarello, Ricciarda Raffaelli, Julia Binder, Veronica Falcone, Gianpaolo Grisolia, Giuseppe Rizzo, Gianluca Gragnaniello, Huong Elena Tran, Luca Boldrini, T. Ghi
原始摘要（英文原文）· Original abstract
An anatomy-aware, two-stage, end-to-end deep learning pipeline was developed for classifying second-trimester fetal brain US images as normal or abnormal and achieved strong diagnostic performance, sensitivity, and specificity.
Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities at Routine Second Trimester US Scan: A Multicenter Study — 科研速览 Science Skim