no code implementations • NAACL (ClinicalNLP) 2022 • Dabin Min, Kaeun Kim, Jong Hyuk Lee, Yisak Kim, Chang Min Park
Specifically, our method detects errors between findings and conclusion of chest X-ray reports based on a supervised learning framework.
no code implementations • 13 Feb 2022 • Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye
Although deep learning-based computer-aided diagnosis systems have recently achieved expert-level performance, developing a robust deep learning model requires large, high-quality data with manual annotation, which is expensive to obtain.
2 code implementations • ECCV 2020 • Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
Current methods for solving this task exploit various characteristics of the chest X-ray image, but one of the most important characteristics is still missing: the necessity of comparison between related regions in an image.