@inproceedings{f85df2690bb4489a9c2f24c98e2119f2,
title = "Improved Lung Cancer Detection in Ultra Low dose CT with Combined AI-based Nodule Detection and Denoising Techniques",
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.",
keywords = "deep learning, denoising, lung nodule, nodule-wise sensitivity, ultra low dose",
author = "Jemyoung Lee and Changyoung Heo and Park, {Jae Hyun} and Lee, {Kyong Joon} and Minsu Kim and Hanyoung Kim and Jihang Kim and Kim, {Jong Hyo}",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; null ; Conference date: 04-01-2022 Through 06-01-2022",
year = "2022",
doi = "10.1117/12.2625966",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Masayuki Nakajima and Shogo Muramatsu and Jae-Gon Kim and Jing-Ming Guo and Qian Kemao",
booktitle = "International Workshop on Advanced Imaging Technology, IWAIT 2022",
}