Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hong Kyu Shin"'
Autor:
Zhixin Xu, Seohoon Lim, Hong-Kyu Shin, Kwang-Hyun Uhm, Yucheng Lu, Seung-Won Jung, Sung-Jea Ko
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Deep-learning-based survival prediction can assist doctors by providing additional information for diagnosis by estimating the risk or time of death. The former focuses on ranking deaths among patients based on the Cox model, whereas the lat
Externí odkaz:
https://doaj.org/article/2428be93cffe4739ac978f40ccbd9b05
Publikováno v:
IEEE Access, Vol 10, Pp 93960-93970 (2022)
Pathology image classification is an important step in cancer diagnosis and precision treatment. Training a pathology image classification model in a fully supervised manner requires exhaustive pixel-level manual annotations from pathologists, which
Externí odkaz:
https://doaj.org/article/24ba0107c83544bba61ec2e7065d6448
Autor:
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Hong-Kyu Shin, Jae-Ik Yoo, Se Won Oh, Jee Young Kim, Hyun Gi Kim, Young Joon Lee, Seo Yeon Youn, Sung-Hoo Hong, Sung-Jea Ko
Publikováno v:
npj Precision Oncology, Vol 5, Iss 1, Pp 1-6 (2021)
Abstract In 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying
Externí odkaz:
https://doaj.org/article/b233852307e7463aa595188f0f21eff1
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Autor:
Sung-Hoo Hong, Young Joon Lee, Sung-Jea Ko, Jae-Ik Yoo, Se Won Oh, Seo Yeon Youn, Hyun Gi Kim, Kwang-Hyun Uhm, Hong-Kyu Shin, Moon Hyung Choi, Jee Young Kim, Seung-Won Jung
Publikováno v:
npj Precision Oncology, Vol 5, Iss 1, Pp 1-6 (2021)
NPJ Precision Oncology
NPJ Precision Oncology
In 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying histolog
Publikováno v:
2022 IEEE International Conference on Consumer Electronics (ICCE).
Publikováno v:
ICCE
In atrial fibrillation treatment, it is important to visualize and analyze an accurate left atrial (LA) model from cardiac computed tomography (CT) images. In recent years, 3D-CNNs have been applied to acquire an accurate LA model from CT images. How
Publikováno v:
TENCON
Recently, convolutional neural networks (CNNs)- based automated Gleason grading system for prostate cancer has been widely researched. However, these systems still need further improvement to achieve pathologist-level performance. To this end, this p
Autor:
Hang Dong, Zongyan Han, Hong-Kyu Shin, Gregory G. Slabaugh, Maitreya Suin, Xin Ye, Jian Yang, Yu Guo, Bolun Zheng, Yanyun Qu, Xiang Tian, Kuldeep Purohit, Ming Hong, A. N. Rajagopalan, Ales Leonardis, Yaowu Chen, Praveen Kandula, Wenying Lin, Jie Wang, Sung-Jea Ko, Xi Cheng, Wenjin Yang, Radu Timofte, Shanxin Yuan, Zhenyong Fu, Sourya Dipta Das, Ding Xuan, Joon-Yeon Kim
Publikováno v:
ICCV Workshops
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper describes the challenge, and focuses on the proposed solutions and their r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1e5be32f9259272601859e4ea71210a
http://arxiv.org/abs/1911.03461
http://arxiv.org/abs/1911.03461
Publikováno v:
The Journal of the Korea Contents Association. 12:155-165
In any military services, young leaders are superiors to another and the leaders must be equipped with not only command and control(C2) and management capabilities but with a skill set that addresses their service members` problems and hardships thro