Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm

Summary In recent years, a number of learning methods have been adopted for classifying the mammogram images, which helps the early detection and diagnosis of breast cancer. The breast lesion identification and categorization using mammography screening based on combined convolutional neural network...

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Bibliographic Details
Published in:Concurrency and computation Vol. 34; no. 28
Main Authors: Sakthivel, N. K., Subasree, S., Alias Priya M, Pachhaiammal, Tyagi, Amit Kumar
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 25.12.2022
Wiley Subscription Services, Inc
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ISSN:1532-0626, 1532-0634
Online Access:Get full text
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