Brain Tumor Detection Using Convolutional Neural Network

EasyChair Preprint 15300

Abstract

Magnetic resonance imaging (MRI) scans are commonly employed in the field of medical science for the identification of brain tumors, some of which can be life-threatening. Therefore, it is essential to differentiate between benign and malignant tumors to initiate prompt treatment. The conventional method for brain tumor detection involves manual analysis by radiologists and doctors, which can sometimes be a time-consuming process. To expedite and improve this process, machine learning techniques, such as Convolutional Neural Networks (CNNs), can be leveraged to automatically detect brain tumors by training on a substantial dataset. This technological advancement holds great promise in revolutionizing the medical field.

Keyphrases: Brain Tumor, Deep Convolutional Neural Networks (DCNN), Magnetic Resonance Imaging (MRI), Medical Imaging., feature extraction

@booklet{EasyChair:15300,
  author    = {Md.Saiful Islam and Mahede Hasan and Mohammad Arifuzzaman},
  title     = {Brain Tumor Detection Using Convolutional Neural Network},
  howpublished = {EasyChair Preprint 15300},
  year      = {EasyChair, 2024}}