RCS-YOLO: A fast and high-accuracy object detector for brain tumor detection

M Kang, CM Ting, FF Ting, RCW Phan - International Conference on …, 2023 - Springer
With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks
have become one of the most efficient algorithms for object detection. However, the …

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 …

Brain Tumor Detection from MRI Images Using Convolutional Neural Networks

N Patel, VK Jain, AK Yadav, S Bano… - Proceedings of the 2024 …, 2024 - dl.acm.org
Brain tumors present a formidable healthcare challenge worldwide, especially in India,
where around 50,000 new cases emerge annually. This study proposes an innovative …

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 …

[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 …