Improved lung cancer detection in ultra low dose CT with combined AI-based nodule detection and denoising techniques

Jemyoung Lee; Jae-Hyun Park; Minsu Kim; Changyoung Heo; Kyong Joon Lee; Hanyoung Kim; Jihang Kim; Jong Hyo Kim

doi:10.1117/12.2625966

30 April 2022 Improved lung cancer detection in ultra low dose CT with combined AI-based nodule detection and denoising techniques

Jemyoung Lee, Jae-Hyun Park, Minsu Kim, Changyoung Heo, Kyong Joon Lee, Hanyoung Kim, Jihang Kim, Jong Hyo Kim

Author Affiliations +

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217721 (2022) https://doi.org/10.1117/12.2625966
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

In this study, we evaluated the synergy between the two artificial intelligence solutions by applying the deep learning based denoising technique to determine if the performance of the AI-based lung nodule detection solution is enhanced.

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Jemyoung Lee, Jae-Hyun Park, Minsu Kim, Changyoung Heo, Kyong Joon Lee, Hanyoung Kim, Jihang Kim, and Jong Hyo Kim "Improved lung cancer detection in ultra low dose CT with combined AI-based nodule detection and denoising techniques", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217721 (30 April 2022); https://doi.org/10.1117/12.2625966

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