Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet

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...

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Bibliographic Details
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
ISSN:	1573-7721, 1380-7501, 1573-7721
Online Access:	Get full text
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