Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification

Abstract Background Coronary computed tomography angiography examinations are increasingly becoming established as a minimally invasive method for diagnosing coronary diseases. However, although various imaging and processing methods have been developed, coronary artery calcification remains a major...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Hidekazu Inage, Nobuo Tomizawa, Yujiro Otsuka, Chihiro Aoshima, Yuko Kawaguchi, Kazuhisa Takamura, Rie Matsumori, Yuki Kamo, Yui Nozaki, Daigo Takahashi, Ayako Kudo, Makoto Hiki, Yosuke Kogure, Shinichiro Fujimoto, Tohru Minamino, Shigeki Aoki
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2022-05-01
Colecção:The Egyptian Heart Journal
Assuntos:
Deep learning
Cycle-GAN
Coronary CT angiography (CCTA)
Coronary artery calcification
Acesso em linha:https://doi.org/10.1186/s43044-022-00280-y
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados