Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms

Breast cancer (BC) masses and microcalcification are nonlinear with complex dynamics due to which radiologists fail to properly diagnose breast cancer. In this paper, we used a hybrid features extracting approach based on texture, morphological, Scale Invariant Feature Transform (SIFT), Gray Level C...

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Bibliographic Details
Main Authors: Lal Hussain, Shahzad Ahmad Qureshi, Amjad Aldweesh, Jawad ur Rehman Pirzada, Faisal Mehmood Butt, Elsayed Tag eldin, Mushtaq Ali, Abdulmohsen Algarni, Muhammad Amin Nadim
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
breast cancer
support vector machine
bayesian approach
rica and sparse filters
Online Access:http://dx.doi.org/10.1080/09540091.2022.2151566
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http://dx.doi.org/10.1080/09540091.2022.2151566

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