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Brain Tumor Detection using Deep Learning Approach
Debendra Kumar Sahoo1, Satyasish Mishra1, Mihir Narayan Mohanty2
1Department of Electronics and Communication Engineering, Centurion University of Technology and Management, Siksha 'O' Anusandan (Deemed to be University), Bhubaneswar, Odisha, India.
Neurology India
|August 28, 2023
Summary
Early brain tumor detection is crucial for better treatment. This review explores advanced AI and deep learning methods for accurate cancer diagnosis from MRI scans, improving detection accuracy.
Area of Science:
- Medical Imaging Analysis
- Artificial Intelligence in Oncology
- Neuroscience and Radiology
Background:
- Early brain tumor detection significantly impacts therapeutic outcomes and patient prognosis.
- Manual analysis of magnetic resonance imaging (MRI) for brain tumors is time-consuming and prone to errors.
- There is a critical need for automated, accurate, computer-assisted diagnostic tools for early cancer detection.
Purpose of the Study:
- To review traditional and deep learning artificial intelligence (AI) strategies for brain tumor detection using MRI.
- To highlight the importance of PC-assisted methods for improving the accuracy of early cancer diagnosis.
- To discuss the application of AI in identifying tumor location, classification, and grading.
Main Methods:
- Comprehensive literature review of existing AI and deep learning techniques for brain tumor diagnosis.
- Analysis of traditional AI approaches versus modern deep learning methodologies in neuro-oncology imaging.
- Evaluation of methods for brain tumor detection, characterization, and measurement from MRI data.
Main Results:
- Traditional AI methods have been used for brain tumor detection, but deep learning shows promise for higher accuracy.
- Deep learning strategies are increasingly being employed for detecting cerebral growths with enhanced precision.
- The review identifies key benefits including improved performance, accurate estimation, and precise measurement of brain tumors.
Conclusions:
- Advanced AI, particularly deep learning, offers significant potential for accurate and early brain tumor detection from MRI.
- Computer-assisted strategies are essential for overcoming the limitations of manual image evaluation.
- Further research into these methods can lead to improved diagnostic capabilities and patient management.
