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

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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Bibliographic Details
Main Authors: Byunghoon Hwang, Jihu Kim, Sungmin Lee, Eunyoung Kim, Jeongho Kim, Younhyun Jung, Hyoseok Hwang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
abdominal aortic aneurysm (AAA)
optimized loss function
CTA images
thrombus detection and segmentation
Mask R-CNN
Online Access:https://www.mdpi.com/1424-8220/22/10/3643

Internet

https://www.mdpi.com/1424-8220/22/10/3643

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