Kainat Nazir1, Tahir Mustafa Madni1, Uzair Iqbal Janjua1, Umer Javed2, Muhammad Attique Khan3, Usman Tariq4, Jae-Hyuk Cha5,*
CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2861-2877, 2023, DOI:10.32604/cmc.2023.039181
Abstract Brain tumor significantly impacts the quality of life and changes everything for a patient and their loved ones.
Diagnosing a brain tumor usually begins with magnetic resonance imaging (MRI). The manual brain tumor
diagnosis from the MRO images always requires an expert radiologist. However, this process is time-consuming
and costly. Therefore, a computerized technique is required for brain tumor detection in MRI images. Using the
MRI, a novel mechanism of the three-dimensional (3D) Kronecker convolution feature pyramid (KCFP) is used
to segment brain tumors, resolving the pixel loss and weak processing of multi-scale lesions. A single dilation
rate was replaced… More >
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