Title | ||
---|---|---|
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions. |
Abstract | ||
---|---|---|
Lung cancer is the type of cancer that most often kills after the initial diagnosis. To aid the specialist in its diagnosis, temporal evaluation is a potential tool for analyzing indeterminate lesions, which may be benign or malignant, during treatment. With this goal in mind, a methodology is herein proposed for the analysis, quantification, and visualization of changes in lung lesions. This meth... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIP.2018.2878954 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Lesions,Lung,Cancer,Databases,Clustering algorithms,Visualization,Volume measurement | Voxel,Lung cancer,Lesion,Lung,Pattern recognition,Artificial intelligence,Radiology,Indeterminate,Cluster analysis,Mathematics,Cancer,Statistical analysis | Journal |
Volume | Issue | ISSN |
28 | 4 | 1057-7149 |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stelmo MagalhãEs Barros Netto | 1 | 23 | 3.70 |
Aristofanes C. Silva | 2 | 316 | 36.48 |
Anselmo C. Paiva | 3 | 379 | 48.88 |
Rofolfo Acatauassu Nunes | 4 | 1 | 0.35 |
Marcelo Gattass | 5 | 382 | 48.43 |