Automatic Detection and Segmentation of Thrombi in Abdominal Aortic Aneurysms Using a Mask Region-Based Convolutional Neural Network with Optimized Loss Functions

The detection and segmentation of thrombi are essential for monitoring the disease progression of abdominal aortic aneurysms (AAAs) and for patient care and management. As they have inherent capabilities to learn complex features, deep convolutional neural networks (CNNs) have been recently introduc...

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Detalles Bibliográficos
Autores principales: Hwang, Byunghoon, Kim, Jihu, Lee, Sungmin, Kim, Eunyoung, Kim, Jeongho, Jung, Younhyun, Hwang, Hyoseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145191/
https://www.ncbi.nlm.nih.gov/pubmed/35632050
http://dx.doi.org/10.3390/s22103643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145191/
https://www.ncbi.nlm.nih.gov/pubmed/35632050
http://dx.doi.org/10.3390/s22103643

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