Classification with 2-D convolutional neural networks for breast cancer diagnosis

Abstract Breast cancer is the most common cancer in women. Classification of cancer/non-cancer patients with clinical records requires high sensitivity and specificity for an acceptable diagnosis test. The state-of-the-art classification model—convolutional neural network (CNN), however, cannot be u...

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Bibliographic Details
Main Authors: Anuraganand Sharma, Dinesh Kumar
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-26378-6