Deep mining generation of lung cancer malignancy models from chest x-ray images
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Horry, Michael J 
ORCID: https://orcid.org/0000-0001-6691-9739, Chakraborty, Subrata ORCID: https://orcid.org/0000-0002-0102-5424, Pradhan, Biswajeet ORCID: https://orcid.org/0000-0001-9863-2054, Paul, Manoranjan ORCID: https://orcid.org/0000-0001-6870-5056, Gomes, Douglas Pinto Sampaio, Ul-Haq, Anwaar ORCID: https://orcid.org/0000-0002-5145-7276 and Alamri, Abdullah
(2021)
Deep mining generation of lung cancer malignancy models from chest x-ray images.
Sensors, 21 (19).
pp. 1-23.
ISSN 1424-8220
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/44932 |
| DOI | 10.3390/s21196655 |
| Official URL | https://www.mdpi.com/1424-8220/21/19/6655 |
| Subjects | Current > FOR (2020) Classification > 3202 Clinical sciences Current > FOR (2020) Classification > 3211 Oncology and carcinogenesis Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > College of Science and Engineering |
| Keywords | lung cancer; chest X-ray; malignancy predictive models; artificial intelligence; machine learning; computer vision; model mining |
| Citations in Scopus | 4 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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