Application of Deep Learning in Healthcare: A Survey on Brain Tumor Detection

  • Elaissaoui K
  • Ridouani M
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

Brain tumors are one of the most dangerous diseases that continue to be threatened worldwide.As a result, the diagnosis and treatment in the early stages are very important in this case. As a result, the diagnosis and treatment in the early stages are very important in this case. Furthermore, the determination of the correct nature of the tumor is a sensitive process in patient treatment .In recent years, with the advancement of deep learning solutions in computer vision, such as image segmentation, image classification, and object detection, promising results have been achieved in the accuracy of medical diagnosis.In this paper, we propose the most famous deep learning model and architecture used to predict the existence of brain tumors from an MR image dataset.

Cite

CITATION STYLE

APA

Elaissaoui, K., & Ridouani, M. (2023). Application of Deep Learning in Healthcare: A Survey on Brain Tumor Detection. ITM Web of Conferences, 52, 02005. https://doi.org/10.1051/itmconf/20235202005

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free