Name
Title | ||
|---|---|---|
Computer-assisted liver graft steatosis assessment via learning-based texture analysis. |
Abstract | ||
|---|---|---|
This research represents the first attempt to use machine learning and automatic texture analysis of RGB images from ubiquitous smartphone cameras for the task of graft HS assessment. The results suggest that is a promising strategy to develop a fully automatic solution to assist surgeons in HS assessment inside the OR. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1787-6 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Liver,Transplantation,Texture analysis,Machine learning,Surgical data science | Liver graft,Medical history,Medical physics,Steatosis,Radiology,Decision process,Gold standard,Transplantation,Medicine | Journal |
Volume | Issue | ISSN |
13 | 9 | 1861-6410 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Moccia | 1 | 38 | 9.44 |
| Leonardo S. Mattos | 2 | 123 | 28.31 |
| Ilaria Patrini | 3 | 0 | 0.34 |
| Michela Ruperti | 4 | 0 | 0.34 |
| Nicolas Poté | 5 | 0 | 0.34 |
| Federica Dondero | 6 | 0 | 0.34 |
| François Cauchy | 7 | 0 | 0.34 |
| Ailton Sepulveda | 8 | 0 | 0.34 |
| Olivier Soubrane | 9 | 0 | 0.34 |
| Elena De Momi | 10 | 242 | 52.77 |
| Alberto Diaspro | 11 | 9 | 3.40 |
| Manuela Cesaretti | 12 | 0 | 0.34 |