Open AccessArtificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator
Author(s) -
Haixia Liu,
Guozhong Cui,
Yi Luo,
Yajie Guo,
Lianli Zhao,
Yueheng Wang,
Abdülhamit Subaşı,
Şengül Doğan,
Türker Tuncer
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s347491
Subject(s) - artificial intelligence , deep learning , pattern recognition (psychology) , feature (linguistics) , computer science , feature selection , feature extraction , feature vector , breast ultrasound , artificial neural network , grid , breast cancer , mammography , medicine , cancer , mathematics , philosophy , linguistics , geometry
Breast cancer is a prominent cancer type with high mortality. Early detection of breast cancer could serve to improve clinical outcomes. Ultrasonography is a digital imaging technique used to differentiate benign and malignant tumors. Several artificial intelligence techniques have been suggested in the literature for breast cancer detection using breast ultrasonography (BUS). Nowadays, particularly deep learning methods have been applied to biomedical images to achieve high classification performances.