Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images

BACKGROUND: The detection of coronary artery disease (CAD) from the X-ray coronary angiography is a crucial process which is hindered by various issues such as presence of noise, insufficient contrast of the input images along with the uncertainties caused by the motion due to respiration and variat...

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Detalles Bibliográficos
Autores principales: Algarni, Mona, Al-Rezqi, Abdulkader, Saeed, Faisal, Alsaeedi, Abdullah, Ghabban, Fahad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202622/
https://www.ncbi.nlm.nih.gov/pubmed/35721418
http://dx.doi.org/10.7717/peerj-cs.993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202622/
https://www.ncbi.nlm.nih.gov/pubmed/35721418
http://dx.doi.org/10.7717/peerj-cs.993

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