Emad Abd Al Rahman1, Nur Intan Raihana Ruhaiyem1,*, Majed Bouchahma2, Kamarul Imran Musa3
Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3007-3028, 2023, DOI:10.32604/iasc.2023.032580
- 15 March 2023
Abstract This study offers a framework for a breast cancer computer-aided treatment prediction (CATP) system. The rising death rate among women due to breast
cancer is a worldwide health concern that can only be addressed by early diagnosis and frequent screening. Mammography has been the most utilized breast imaging technique to date. Radiologists have begun to use computer-aided detection
and diagnosis (CAD) systems to improve the accuracy of breast cancer diagnosis
by minimizing human errors. Despite the progress of artificial intelligence (AI) in
the medical field, this study indicates that systems that can anticipate a treatment… More >
Login
Register
