Spatially localized sparse approximations of deep features for breast mass characterization

Spatially localized sparse approximations of deep features for breast mass characterization

We propose a deep feature-based sparse approximation classification technique for classification of breast masses into benign and malignant categories in film screen mammographs. This is a significant application as breast cancer is a leading cause of death in the modern world and improvements in di...

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Bibliographic Details
Main Authors: Chelsea Harris, Uchenna Okorie, Sokratis Makrogiannis
Format: Article
Language:English
Published: AIMS Press 2023-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
breast mass classification
sparse approximation
deep features
mammography
convolutional neural network
patch decomposition and reconstruction
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023706?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023706?viewType=HTML

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