Issue |
ITM Web Conf.
Volume 52, 2023
International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
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Article Number | 02005 | |
Number of page(s) | 12 | |
Section | Artificial Intelligence and its Application | |
DOI | https://doi.org/10.1051/itmconf/20235202005 | |
Published online | 08 May 2023 |
Application of Deep Learning in Healthcare: A Survey on Brain Tumor Detection
RITM Laboratory, CED Engineering Sciences,Hassan II University, Casablanca, Morocco
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.
Key words: Deep learning / Segmentation / Classification / CNN
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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