Breast Cancer Classification Using Concatenated Triple Convolutional Neural Networks Model

Breast Cancer Classification Using Concatenated Triple Convolutional Neural Networks Model

Improved disease prediction accuracy and reliability are the main concerns in the development of models for the medical field. This study examined methods for increasing classification accuracy and proposed a precise and reliable framework for categorizing breast cancers using mammography scans. Con...

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Bibliographic Details
Main Authors: Mohammad H. Alshayeji, Jassim Al-Buloushi
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Big Data and Cognitive Computing
Subjects:
artificial intelligence
machine learning
breast tumors
convolutional neural networks
Bayesian optimization
Online Access:https://www.mdpi.com/2504-2289/7/3/142

Internet

https://www.mdpi.com/2504-2289/7/3/142

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