Hanan Abdullah Mengash1,*, Hanan A. Hosni Mahmoud2,3
CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1551-1563, 2021, DOI:10.32604/cmc.2021.016907
Abstract Detection of brain tumors in MRI images is the first step in brain cancer diagnosis. The accuracy of the diagnosis depends highly on the expertise of radiologists. Therefore, automated diagnosis of brain cancer from MRI is receiving a large amount of attention. Also, MRI tumor detection is usually followed by a biopsy (an invasive procedure), which is a medical procedure for brain tumor classification. It is of high importance to devise automated methods to aid radiologists in brain cancer tumor diagnosis without resorting to invasive procedures. Convolutional neural network (CNN) is deemed to be one of the best machine learning… More >
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