Name
Title | ||
|---|---|---|
Automated quantification of renal interstitial fibrosis for computer-aided diagnosis: A comprehensive tissue structure segmentation method. |
Abstract | ||
|---|---|---|
•Renal interstitial fibrosis quantification based on detection of all tissue structures.•Combination of colour spaces, structural features and multiscale texture information.•A 40-image ground truth set with interstitial fibrosis regions annotated is prepared.•Average error within 9% compared to the average pathologist's visual quantification.•Inter-pathologist correlation increased under the aid of automated quantification results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2017.12.004 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Renal interstitial fibrosis,Medical image analysis,Computer aided diagnosis,Tissue structure segmentation | Computer vision,Renal biopsy,Fibrosis,Segmentation,Computer science,Computer-aided diagnosis,Biopsy,Renal interstitial fibrosis,Scarring tissue,Artificial intelligence,Radiology,Medical diagnosis | Journal |
Volume | ISSN | Citations |
155 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Keat Tey | 1 | 0 | 0.68 |
| Ye Chow Kuang | 2 | 72 | 19.81 |
| Melanie Po-Leen Ooi | 3 | 70 | 18.35 |
| Joon Joon Khoo | 4 | 0 | 1.01 |