Cited 0 times in Scipus Cited Count

Performance of Deep Learning Algorithm to Classify Subsolid Nodule on chest CT

DC Field Value Language
dc.contributor.advisor선, 주성-
dc.contributor.author정, 용준-
dc.date.accessioned2022-11-16T06:45:32Z-
dc.date.available2022-11-16T06:45:32Z-
dc.date.issued2022-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/22716-
dc.formatapplication/pdf-
dc.language.isoen-
dc.titlePerformance of Deep Learning Algorithm to Classify Subsolid Nodule on chest CT-
dc.title.alternativePerformance of Deep Learning Algorithm to Classify Subsolid Nodule on chest CT: Comparison with Thoracic Radiologists and Resident-
dc.typeThesis-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000031706-
dc.subject.keywordDeep learning algorithm-
dc.subject.keywordpulmonary nodule classification-
dc.subject.keywordsubsolid-
dc.subject.keywordpart-solid-
dc.subject.keywordnon-solid-
dc.description.degreeMaster-
dc.contributor.department대학원 의학과-
dc.contributor.affiliatedAuthor정, 용준-
dc.date.awarded2022-
dc.type.localTheses-
dc.citation.date2022-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
Appears in Collections:
Theses > School of Medicine / Graduate School of Medicine > Master
Files in This Item:
There are no files associated with this item.

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

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

Browse