Addressing architectural distortion in mammogram using AlexNet and support vector machine

Addressing architectural distortion in mammogram using AlexNet and support vector machine

Objective: To address the architectural distortion (AD) which is an irregularity in the parenchymal pattern of breast. The nature of AD is extremely complex; still, the study is very much essential because AD is viewed as a primitive sign of breast cancer. In this study, a new convolutional neural n...

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Bibliographic Details
Main Authors: Aditi V. Vedalankar, Shankar S. Gupta, Ramchandra R. Manthalkar
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Mammogram
Architectural distortion
Convolutional neural networks
AlexNet
Support vector machine
Augmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821000411

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http://www.sciencedirect.com/science/article/pii/S2352914821000411

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