Deep learning-based tumor segmentation in non small cell lung cancer utilizing CT images

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	Korean
Title of host publication	Korea Software Congress 2021 proceedings
Publisher	Korean Institute of Information Scientists and Engineers
Pages	416-418
Publication status	Published - Dec 2021
MoE publication type	Not Eligible

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@inproceedings{cb623e1fe2da4e22a0a41656358cd985,

title = "Deep learning-based tumor segmentation in non small cell lung cancer utilizing CT images",

author = "Choi, \{Joung Min\} and Kong, \{Young Bing\} and Jihyeon Kim and Hyunkyung Choo and HeeJoon Chae",

year = "2021",

month = dec,

language = "Korean",

pages = "416--418",

booktitle = "Korea Software Congress 2021 proceedings",

publisher = "Korean Institute of Information Scientists and Engineers",

address = "Korea, Republic of",

}

Deep learning-based tumor segmentation in non small cell lung cancer utilizing CT images. / Choi, Joung Min; Kong, Young Bing; Kim, Jihyeon et al.
Korea Software Congress 2021 proceedings. Korean Institute of Information Scientists and Engineers, 2021. p. 416-418.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Deep learning-based tumor segmentation in non small cell lung cancer utilizing CT images

AU - Choi, Joung Min

AU - Kong, Young Bing

AU - Kim, Jihyeon

AU - Choo, Hyunkyung

AU - Chae, HeeJoon

PY - 2021/12

Y1 - 2021/12

UR - https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11035727

M3 - Conference article in proceedings

SP - 416

EP - 418

BT - Korea Software Congress 2021 proceedings

PB - Korean Institute of Information Scientists and Engineers

ER -