AI RESEARCH
OkanNet: A Lightweight Deep Learning Architecture for Classification of Brain Tumor from MRI Images
arXiv CS.LG
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ArXi:2604.01264v1 Announce Type: cross Medical imaging techniques, especially Magnetic Resonance Imaging (MRI), are accepted as the gold standard in the diagnosis and treatment planning of neurological diseases. However, the manual analysis of MRI images is a time-consuming process for radiologists and is prone to human error due to fatigue. In this study, two different Deep Learning approaches were developed and analyzed comparatively for the automatic detection and classification of brain tumors (Glioma, Meningioma, Pituitary, and No Tumor