Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet

• Published in: Multimedia tools and applications Vol. 83; no. 15; pp. 46037 - 46063
• Main Authors: Samudrala, Suresh, Mohan, C. Krishna
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2024; Springer Nature B.V
• Subjects: Accuracy; Breast cancer; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Feature maps; Image contrast; Image enhancement; Image segmentation; Modules; Multimedia Information Systems; Semantic segmentation; Semantics; Special Purpose and Application-Based Systems; Topology; Track 2: Medical Applications of Multimedia; Breast cancer; Attention gate and Semantic segmentation; DenseNet-121; Pyramid scene parsing network; Contrast enhancement

For early detection of cancer tumors, the semantic segmentation based technique is proposed because the existing numerous methods fail while classifying due to accuracy and ineffectual decision-making. Therefore, in this paper, the hybrid semantic segmentation networks are introduced. In the beginni...