SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation

SHIN, HYUNGSEOB; KIM, HYEONGYU; KIM, SEWON; JUN, YOHAN; EO, TAEJOON; HWANG, DOSIK

YONSEI University

Detailed Information

Cited 0 time in webofscience

Cited 0 time in scopus

Metadata Downloads

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation

Authors: SHIN, HYUNGSEOB; KIM, HYEONGYU; KIM, SEWON; JUN, YOHAN; EO, TAEJOON; HWANG, DOSIK

Issue Date: 202306

URI: https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6523

Conference Name: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Place: 캐나다
VANCOUVER, CANADA

metadata.conference.dc.citation.conferenceName: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Files in This Item: There are no files associated with this item.

Appears in Collections: College of Engineering > Electrical and Electronic Engineering > 3. Conference Papers

Show full item record

qrcode

Related Researcher

Researcher SHIN, HYUNGSEOB photo

SHIN, HYUNGSEOB: 공과대학 전기전자공학과

Read more

Altmetrics

Total Views & Downloads

STATISTICS: Total View :824,972; Today View :1,594

RSS_1.0 RSS_2.0 ATOM_1.0

Yonsei University 50 Yonsei-ro Seodaemun-gu, Seoul, 03722, Republic of Korea1599-1885

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Related Researcher

Altmetrics

Total Views & Downloads

BROWSE