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

Lal Hussaina Department of Computer Science & IT, Neelum Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan;b Department of Computer Science & IT, King Abdullah Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, PakistanCorrespondence[email protected]

Shahzad Ahmad Qureshic Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan

Amjad Aldweeshd College of Computer science and information technology, Shaqra University, Shaqra, Saudi Arabia

Jawad ur Rehman Pirzadaa Department of Computer Science & IT, Neelum Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan

Faisal Mehmood Butte Department of Electrical Engineering, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan

Elsayed Tag eldinf Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

Mushtaq Alig Department of Computer Science & Information Technology, Hazara University, Mansehra, Pakistan

Abdulmohsen Algarnih College of Computer Science, King Khalid University, Abha, Saudi Arabia

Muhammad Amin Nadimi Department of Computer Science, University of South Asia, Lahore, Pakistan

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

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

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