A Deep Learning Technique based for Detecting Different Types of Brain Tumor

  • Deepak Kumar Choudhary, Shweta Kumari, Akhilesh Kumar, Nitish Kumar

Abstract

The inclusion of Deep Learning Techniques in the field of medical sciences has lead to a tremendous change in prediction of diseases at ease. Image recognition tasks which are a part of deep learning techniques have increased the use of image diagnosis and have increased the use of electronic medical records. Through our present review we depict several deep learning techniques which perform medical image analysis by focusing on Convolutional Neural Networks and that enlighten clinical aspects of the field. The advantage of deep learning in this era of dealing with large sets of medical data is that significant hierarchical relationships within the data set can be found easily without laborious hand-crafting algorithms of features. Through this work we cover research areas where the applications of medical image classification, localization, detection, segmentation and registration are vividly in use. This would be concluded with a discussion on the research obstacles, emerging trends and possible future enhancements.

Published
2021-10-16
How to Cite
Deepak Kumar Choudhary, Shweta Kumari, Akhilesh Kumar, Nitish Kumar. (2021). A Deep Learning Technique based for Detecting Different Types of Brain Tumor. Design Engineering, 4575 - 4583. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5413
Section
Articles