Artificial Intelligence System for Automatic Mammary Region Extraction Using Semi-subjective Corrected Region for Breast Composition Evaluation

• Published in: Curēus (Palo Alto, CA) Vol. 17; no. 3; p. e80545
• Main Authors: Ishizuka, Sachi, Kai, Chiharu, Ohtsuka, Tsunehiro, Futamura, Hitoshi, Kodama, Naoki, Kasai, Satoshi
• Format: Journal Article
• Language: English
• Published: United States Springer Nature B.V 13.03.2025; Cureus
• Subjects: Artificial intelligence; Blood vessels; Breast cancer; Mammography; Maximum entropy method; Medical screening; Radiology; Readers; United States > US; Japan; mammogram; mammary gland regions; semi-subjective corrected regions; breast composition; artificial intelligence (ai)

Introduction Recently, breast composition has been used as a clinical indicator for breast cancer. Although systems have been developed for objectively extracting mammary gland regions, relying on subjective judgment to identify correct mammary gland regions for breast composition can lead to signif...