Name
Title | ||
|---|---|---|
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. |
Abstract | ||
|---|---|---|
•The use of convolutional neural networks (CNN) has grown in brain image analysis.•We review the deep CNNs applied to brain lesions, tissue and structure segmentation.•We discuss about pre-processing, data-preparation, architectures and post-processing.•Quantitative results are shown, pointing out pros and cons of reviewed architectures. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.artmed.2018.08.008 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Deep convolutional neural network,Brain MRI,Segmentation,Review | Brain mri,Pattern recognition,Convolutional neural network,Segmentation,Computer science,Artificial intelligence,Lesion segmentation,Machine learning,Magnetic resonance imaging,Cognitive neuroscience of visual object recognition,Anatomical segmentation | Journal |
Volume | ISSN | Citations |
95 | 0933-3657 | 11 |
PageRank | References | Authors |
0.46 | 117 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Bernal | 1 | 20 | 3.29 |
| Kaisar Kushibar | 2 | 17 | 1.55 |
| Daniel S. Asfaw | 3 | 11 | 0.46 |
| Sergi Valverde | 4 | 26 | 2.49 |
| Arnau Oliver | 5 | 1034 | 83.82 |
| Robert Martí | 6 | 206 | 17.19 |
| Xavier Llado | 7 | 578 | 40.04 |