Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images

Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images

Ultrasound (US) remains the main modality for the differential diagnosis of changes revealed by mammography. However, the US images themselves are subject to various types of noise and artifacts from reflections, which can worsen the quality of their analysis. Deep learning methods have a number of...

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Bibliographic Details
Main Authors: Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
ultrasound image
lesion
breast cancer
random forest classifier
region of interest
segmentation
Online Access:https://www.mdpi.com/1424-8220/25/5/1593

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