File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이지민

Lee, Jimin
Radiation & Medical Intelligence Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace US -
dc.citation.title AAPM 2020 Annual Meeting -
dc.contributor.author Lee, Jimin -
dc.contributor.author Cho, Hyungjoo -
dc.contributor.author Ye, Sung-Joon -
dc.contributor.author Choi, Doo Ho -
dc.contributor.author Park, Won -
dc.contributor.author Kim, Haeyoung -
dc.contributor.author Cho, Won Kyung -
dc.contributor.author Kim, Heejung -
dc.date.accessioned 2024-01-31T23:06:11Z -
dc.date.available 2024-01-31T23:06:11Z -
dc.date.created 2021-03-04 -
dc.date.issued 2020-07-12 -
dc.identifier.bibliographicCitation AAPM 2020 Annual Meeting -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/78419 -
dc.identifier.url https://w3.aapm.org/meetings/2020AM/programInfo/programAbs.php?sid=8797&aid=51903 -
dc.publisher AAPM -
dc.title Automatic tumor and multi-organ segmentation technique in CT based on Deep Learning for radiation therapy after breast-conserving surgery -
dc.type Conference Paper -
dc.date.conferenceDate 2020-07-12 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.