Enhancing Cancer Zone Diagnosis in MRI Images: A Novel SOM Neural Network Approach with Block Processing in the Presence of Noise
نویسندگان
1 Institute of Artificial Intelligence, Shaoxing University, Zhejiang, China.
2 Computer Department, Islamic Azad University, Damavand Branch, Damavand, Iran.
3 School of paramedical, Kermanshah University of Medical Sciences, Kermanshah, Iran.
4 Assistant Professor of Medical Informatics, Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
5 National Center for Health Insurance Research, Tehran, Iran.
6 Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
7 Department of mathematics, Vali-E-Asr university of Rafsanjani, Rafsanjani, Iran.
8 Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands.
9 Boukan Faculty of Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
10 Institute of Artificial Intelligence, Shaoxing University, Zhejiang, China. - Department of R&D, Shenzhen BKD Co LTD, Shenzhen, China.
doi
چکیده
Background: Brain tumors are a specific disease that directly affects the brain. Magnetic Resonance Imaging (MRI) is considered the most effective imaging technique for diagnosing brain tumors, providing crucial information about tumor size, location, and type. However, accurately segmenting and extracting the tumor region from MRI images is a challenging task for ...
