ViT-MAENB7: An innovative breast cancer diagnosis model from 3D mammograms using advanced segmentation and classification process

• Published in: Computer methods and programs in biomedicine Vol. 257; p. 108373
• Main Authors: Umamaheswari, Thippaluru, Babu, Y. Murali Mohan
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.12.2024
• Subjects: 3D mammogram images; Adaptive thresholding with region growing fusion model; Breast cancer diagnosis; Modified garter snake optimization algorithm; Vision transformer-based multiscale adaptive EfficientNetB7; Modified garter snake optimization algorithm; Vision transformer-based multiscale adaptive EfficientNetB7; Adaptive thresholding with region growing fusion model; 3D mammogram images; Breast cancer diagnosis

•To propose a new 3D mammogram images-derived breast cancer diagnosis model using with the help of adaptive tumor segmentation and new enhanced learning model with optimal feature selection for maximizing the higher efficiency in terms of segmentation and detection.•To segment the tumor parts from t...