Leision Detection in Chest X-ray Images based on Coreset of Patch Feature
Hyun-bin Kim, Jun-Chul Chun, Journal of Internet Computing and Services, Vol. 23, No. 3, pp. 35-45, Jun. 2022
10.7472/jksii.2022.23.3.35, Full Text:
Keywords: Anomaly Detection, X-Ray image, active learning, unsupervision, Deep Learning
Abstract
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Cite this article
[APA Style]
Kim, H. & Chun, J. (2022). Leision Detection in Chest X-ray Images based on Coreset of Patch Feature. Journal of Internet Computing and Services, 23(3), 35-45. DOI: 10.7472/jksii.2022.23.3.35.
[IEEE Style]
H. Kim and J. Chun, "Leision Detection in Chest X-ray Images based on Coreset of Patch Feature," Journal of Internet Computing and Services, vol. 23, no. 3, pp. 35-45, 2022. DOI: 10.7472/jksii.2022.23.3.35.
[ACM Style]
Hyun-bin Kim and Jun-Chul Chun. 2022. Leision Detection in Chest X-ray Images based on Coreset of Patch Feature. Journal of Internet Computing and Services, 23, 3, (2022), 35-45. DOI: 10.7472/jksii.2022.23.3.35.