Abdullah A. Asiri1, Muhammad Aamir2, Ahmad Shaf2,*, Tariq Ali2, Muhammad Zeeshan3, Muhammad Irfan4, Khalaf A. Alshamrani1, Hassan A. Alshamrani1, Fawaz F. Alqahtani1, Ali H. D. Alshehri1
CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5735-5753, 2022, DOI:10.32604/cmc.2022.031747
- 28 July 2022
Abstract The precise brain tumor diagnosis is critical and shows a vital role in the medical support for treating tumor patients. Manual brain tumor segmentation for cancer analysis from many Magnetic Resonance Images (MRIs) created in medical practice is a problematic and timewasting task for experts. As a result, there is a critical necessity for more accurate computer-aided methods for early tumor detection. To remove this gap, we enhanced the computational power of a computer-aided system by proposing a fine-tuned Block-Wise Visual Geometry Group19 (BW-VGG19) architecture. In this method, a pre-trained VGG19 is fine-tuned with CNN More >
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