Title | ||
---|---|---|
Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework. |
Abstract | ||
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Lung disease risk stratification is important for both diagnosis and treatment planning, particularly in biopsies and radiation therapy. Manual lung disease risk stratification is challenging because of: (a) large lung data sizes, (b) inter- and intra-observer variability of the lung delineation and (c) lack of feature amalgamation during machine learning paradigm. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.compbiomed.2017.08.014 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Lung cancer,Computer tomography,CADx cascaded system,Riesz transforms,Gabor transforms,Amalgamation,Risk stratification,Performance | Lung cancer,Feature selection,Computer science,Lung disease,Radiation treatment planning,Robustness (computer science),Artificial intelligence,High-resolution computed tomography,Grayscale,Riesz transform,Computer vision,Pattern recognition,Machine learning | Journal |
Volume | Issue | ISSN |
89 | C | 0010-4825 |
Citations | PageRank | References |
2 | 0.50 | 13 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joel C. Than | 1 | 26 | 2.52 |
Luca Saba | 2 | 202 | 24.44 |
Norliza Mohd. Noor | 3 | 37 | 9.25 |
M. Omar | 4 | 42 | 7.77 |
Rosminah M. Kassim | 5 | 26 | 2.52 |
Ashari Yunus | 6 | 30 | 3.68 |
Harman S Suri | 7 | 2 | 1.85 |
Michele Porcu | 8 | 2 | 0.84 |
Jasjit S. Suri | 9 | 1754 | 128.89 |