BC<sup>2</sup>NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection

BC<sup>2</sup>NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection

One of the most frequent cancers in women is breast cancer, and in the year 2022, approximately 287,850 new cases have been diagnosed. From them, 43,250 women died from this cancer. An early diagnosis of this cancer can help to overcome the mortality rate. However, the manual diagnosis of this cance...

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Bibliographic Details
Main Authors: Kiran Jabeen, Muhammad Attique Khan, Jamel Balili, Majed Alhaisoni, Nouf Abdullah Almujally, Huda Alrashidi, Usman Tariq, Jae-Hyuk Cha
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
breast cancer
mammogram images
contrast enhancement
augmentation
deep learning
feature optimization
Online Access:https://www.mdpi.com/2075-4418/13/7/1238

Internet

https://www.mdpi.com/2075-4418/13/7/1238

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