Segmentation of Arm Ultrasound Images in Breast Cancer-Related Lymphedema: A Database and Deep Learning Algorithm

Objective: Breast cancer treatment often causes the removal of or damage to lymph nodes of the patient's lymphatic drainage system. This side effect is the origin of Breast Cancer-Related Lymphedema (BCRL), referring to a noticeable increase in excess arm volume. Ultrasound imaging is a preferr...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 70; H. 9; S. 1 - 12
Hauptverfasser:	Goudarzi, Sobhan, Whyte, Jesse, Boily, Mathieu, Towers, Anna, Kilgour, Robert D., Rivaz, Hassan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Biomarkers Breast cancer Cancer therapies Damage prevention Datasets Deep learning Diagnosis Drainage systems Image processing Image segmentation Imaging Lymph nodes Lymphatic drainage Lymphedema Machine learning Masks Mechanical properties Medical imaging Medical ultrasound imaging Monitoring Neural networks Radio frequency Segmentation Skin Therapeutic applications Three-dimensional displays Ultrasonic imaging Ultrasound
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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