Segmenting and Classifiying the Brain Tumor from MRI Medical Images Based on Machine Learning Algorithms: A Review

References (24)

1. 1 A comparative study of efficient initialization methods for the k-means clustering algorithm [DOI]
2. 2 Classification using deep learning neural networks for brain tumors [DOI]
3. 3 A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning [DOI]
4. 4 A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor [DOI]
5. 5 A review on brain tumor segmentation of MRI images [DOI]
6. 6 Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization [DOI]
7. 7 A review of algorithms for medical image segmentation and their applications to the female pelvic cavity [DOI]
8. 8 Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network [DOI]
9. 9 Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach [DOI]
10. 10 Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation [DOI]
11. 11 Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images [DOI]
12. 12 An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation [DOI]
13. 13 RescueNet: An unpaired GAN for brain tumor segmentation [DOI]
14. 14 Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging [DOI]
15. 15 Optimization driven Deep Convolution Neural Network for brain tumor classification [DOI]
16. 16 Investigating Brain Tumor Segmentation and Detection Techniques [DOI]
17. 17 Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation [DOI]
18. 18 Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm [DOI]
19. 19 A Review of Image Segmentation Using MATLAB Environment [DOI]
20. 20 Medical Images Breast Cancer Segmentation Based on K-Means Clustering Algorithm: A Review [DOI]
21. 21 Brain tumor segmentation in magnetic resonance imaging using OKM approach [DOI]
22. 22 COVID-19 Diagnosis from Chest X-ray Images Using Deep Learning Approach [DOI]
23. 23 Skin Lesions Classification Using Deep Learning Techniques: Review [DOI]
24. 24 Image Segmentation Algorithms Overview [DOI]

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