Bounded-abstaining classification for breast tumors in imbalanced ultrasound images

DOI10.34768/AMCS-2020-0025zbMath1467.92107OpenAlexW3040734236MaRDI QIDQ2023639

Xianglong Tang, H. D. Cheng, Hongjiao Guan, Ying-Tao Zhang

Publication date: 3 May 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://sciendo.com/pdf/10.34768/amcs-2020-0025

zbMATH Keywords

diagnosisperformance indicatorsimbalanced dataultrasound imagesbounded-abstaining classifier

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

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Cites Work

• Unnamed Item
• Automated breast cancer detection and classification using ultrasound images: a survey
• A fusion-based approach for breast ultrasound image classification using multiple-ROI texture and morphological analyses
• On the use of ROC analysis for the optimization of abstaining classifiers
• 10.1162/153244303322753616

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