An Optimized Ensemble Deep Learning Model For Brain Tumor Classification

arXiv:2305.12844v2 Announce Type: replace-cross
Abstract: Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly diminish life expectancy, underscoring the critical need for precise diagnostic methods. Manual identification of brain tumors within vast Magnetic Resonance Imaging (MRI) image datasets is arduous and time-consuming. Thus, the development of a reliable deep learning (DL) model is essential to enhance diagnostic accuracy and ultimately save lives. This study introduces …

abstract arxiv brain classification cs.cv cs.lg deep learning diagnosis diagnostic eess.iv ensemble human identification imaging life risk treatment tumors type vast