Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images

Accurate identification of the coronary ostia from 3D coronary computed tomography angiography (CCTA) is a essential prerequisite step for automatically tracking and segmenting three main coronary arteries. In this paper, we propose a novel deep reinforcement learning (DRL) framework to localize the...

Descripción completa

Detalles Bibliográficos
Autores principales: Jang, Yeonggul, Jeon, Byunghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469841/
https://www.ncbi.nlm.nih.gov/pubmed/34577391
http://dx.doi.org/10.3390/s21186187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469841/
https://www.ncbi.nlm.nih.gov/pubmed/34577391
http://dx.doi.org/10.3390/s21186187

Ejemplares similares