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About Survey Extended Abstract PDF
This document reviews various methods for detecting brain tumors from MRI images, including image segmentation techniques, machine learning methods, and deep learning approaches. It finds that while earlier methods like thresholding and machine learning require hand-crafted features, deep learning methods like convolutional neural networks (CNNs) and generative adversarial networks (GANs) have achieved higher accuracy through automated feature extraction. However, deep learning also requires large datasets, and methods still need improvements in speed and robustness for clinical use in tumor detection. Overall, the paper provides an overview of tumor segmentation techniques and their potential to help physicians diagnose tumors more accurately.
Detailed Information
| Author: | ['Manoj Mk'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 2 |
| Language: | English |
| Format: | |
| Price: | FREE |
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