Name
Title | ||
|---|---|---|
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network |
Abstract | ||
|---|---|---|
•New method proposed for brain tumor classification based on fused MRI sequences.•T1, T1C, T2 and Flair MRI sequences are fused using discrete wavelet transform.•A global thresholding method is utilized to segment tumor region.•The segmented images are passed to 23 layers CNN model for classification.•Presented approach evaluation on BRATS datasets to authenticate its performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2019.11.016 | Pattern Recognition Letters |
Keywords | Field | DocType |
Sequences,CNN,DWT,Global thresholding,Filter | Pattern recognition,Convolutional neural network,Brain tumor,Fusion,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
129 | 0167-8655 | 4 |
PageRank | References | Authors |
0.68 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javaria Amin | 1 | 20 | 4.40 |
| Muhammad Sharif | 2 | 317 | 37.96 |
| Nadia Gul | 3 | 4 | 0.68 |
| Mussarat Yasmin | 4 | 120 | 13.29 |
| Shafqat Ali Shad | 5 | 38 | 5.27 |