A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning

Saitta, S; Sturla, F; Gorla, R; Oliva, OA; Votta, E; Bedogni, F; Redaelli, A

Sturla, F (通讯作者),Politecn Milan, Dept Elect Informat & Bioengn, Via Camillo Golgi 39, I-20133 Milan, Italy.

COMPUTERS IN BIOLOGY AND MEDICINE, 2023; 163 ():

Abstract

Accurate planning of transcatheter aortic valve implantation (TAVI) is important to minimize complications, and it requires anatomic evaluation of the......

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