Abstract | ||
---|---|---|
Deep learning has a game-changing potential to improve the state of preventative and precision medicine within medical US Research Labs image computing. Here, we will first overview preventative and precision medicine and field of deep learning. Afterward, we will share our perspective on recent research and development NVIDIA activities in both areas and point out some existing achievements, posi... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/MMUL.2018.2875861 | IEEE MultiMedia |
Keywords | Field | DocType |
Biomedical imaging,Tumors,Computed tomography,Image segmentation,Biomarkers | Precision medicine,Medical imaging,Viewpoints,Computer science,Image segmentation,Medical image computing,Computed tomography,Artificial intelligence,Deep learning,Multimedia | Journal |
Volume | Issue | ISSN |
25 | 3 | 1070-986X |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Le Lu | 1 | 1297 | 86.78 |
Adam P. Harrison | 2 | 101 | 17.06 |