Utilizing customized CNN for brain tumor prediction with explainable AI
Timely diagnosis of brain tumors using MRI and its potential impact on patient survival are
critical issues addressed in this study. Traditional DL models often lack transparency …
critical issues addressed in this study. Traditional DL models often lack transparency …
Deep Feature Extraction with Cubic-SVM for Classification of Brain Tumor
M Bourennane, H Naimi… - … in Engineering and …, 2024 - ojs.studiespublicacoes.com.br
Brain tumors (BT) are fatal and debilitating conditions that shorten the typical lifespan of
patients. Patients with BTs who receive inadequate treatment and an incorrect diagnosis …
patients. Patients with BTs who receive inadequate treatment and an incorrect diagnosis …
An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification
M Bourennane, H Naimi - The Journal of Engineering and Exact …, 2023 - periodicos.ufv.br
Technological advancements have had a profound impact on various aspects of human
existence. The realm of medicine is one major area where technology has made important …
existence. The realm of medicine is one major area where technology has made important …
[PDF][PDF] Feature Extraction with Cubic-SVM for Classification of
HN de Mohammed Bourennane - Studies in Engineering and …, 2024 - researchgate.net
Brain tumors (BT) are fatal and debilitating conditions that shorten the typical lifespan of
patients. Patients with BTs who receive inadequate treatment and an incorrect diagnosis …
patients. Patients with BTs who receive inadequate treatment and an incorrect diagnosis …