Name
Title | ||
|---|---|---|
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches. |
Abstract | ||
|---|---|---|
Objective: Today's growing medical image databases call for novel processing tools to structure the bulk of data and extract clinically relevant information. Unsupervised hierarchical clustering may reveal clusters within anatomical shape data of patient populations as required for modern precision medicine strategies. Few studies have applied hierarchical clustering techniques to three-dimensiona... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2017.2655364 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Shape,Principal component analysis,Three-dimensional displays,Medical diagnostic imaging,Sociology | Hierarchical clustering,Data mining,Matthews correlation coefficient,Pattern recognition,Segmentation,Computer science,Statistical shape analysis,Correlation,Morphometrics,Artificial intelligence,Cluster analysis,Principal component analysis | Journal |
Volume | Issue | ISSN |
64 | 10 | 0018-9294 |
Citations | PageRank | References |
4 | 0.48 | 28 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan L. Bruse | 1 | 4 | 0.48 |
| Maria A. Zuluaga | 2 | 279 | 25.84 |
| Abbas Khushnood | 3 | 8 | 2.89 |
| Kristin McLeod | 4 | 97 | 10.68 |
| Hopewell N. Ntsinjana | 5 | 6 | 0.85 |
| Tain-Yen Hsia | 6 | 8 | 1.56 |
| Maxime Sermesant | 7 | 1111 | 122.97 |
| Xavier Pennec | 8 | 5021 | 357.08 |
| Andrew Mayall Taylor | 9 | 4 | 0.48 |
| Silvia Schievano | 10 | 16 | 3.67 |