A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification

A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification

Breast ultrasound (BUS) imaging is commonly used in the early detection of breast cancer as a portable, valuable, and widely available diagnosis tool. Automated BUS image classification and segmentation can assist radiologists in making accurate and fast decisions. Recent studies illustrate that tum...

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Bibliographic Details
Main Authors: Meng Xu, Kuan Huang, Xiaojun Qi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Regional attention
multi-task learning
segmentation
classification
breast ultrasound
Online Access:https://ieeexplore.ieee.org/document/10016712/

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