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...
Main Authors: | Aditi V. Vedalankar, Shankar S. Gupta, Ramchandra R. Manthalkar |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
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Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914821000411 |
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