{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/33502"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/33502","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"SHAPE INFLUENCE IN MEDICAL IMAGE SEGMENTATION WITH APPLICATION IN COMPUTER AIDED DIAGNOSIS IN CT COLONOGRAPHY","abstract":"Computer-aided diagnosis (CAD) is a procedure in medicine that assists radiologists or physicians in the interpretation of medical images. The application of CAD in screening colorectal cancer (CRC) has been studied for more than two decades. CRC is the second most deadly form of cancer in men and women in the United States. Nearly all CRC arises from polyps and is preventable if polyps are removed in their early stage. Recent researches show that radiologists demonstrated higher accuracy in finding polyps with CAD than without CAD. In this dissertation, we review the current status of CAD research in CT Colonography (CTC) and propose a new method to segment and detect polyps in CTC CAD.","abstract_html":"Computer-aided diagnosis (CAD) is a procedure in medicine that assists radiologists or physicians in the interpretation of medical images. The application of CAD in screening colorectal cancer (CRC) has been studied for more than two decades. CRC is the second most deadly form of cancer in men and women in the United States. Nearly all CRC arises from polyps and is preventable if polyps are removed in their early stage. Recent researches show that radiologists demonstrated higher accuracy in finding polyps with CAD than without CAD. In this dissertation, we review the current status of CAD research in CT Colonography (CTC) and propose a new method to segment and detect polyps in CTC CAD.","abstract_has_math":false,"creators":["Xu, Haiyong"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-27T22:01:20Z","subjects":["Computer-aided Diagnosis"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/33502","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Xu, Haiyong"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2011-07-14T20:36:31Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2011-07-14T20:36:31Z"]},{"key":"dc:date.issued","label":"Date","values":["2011"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer-aided Diagnosis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/33502"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Computer-aided diagnosis (CAD) is a procedure in medicine that assists radiologists or physicians in the interpretation of medical images. The application of CAD in screening colorectal cancer (CRC) has been studied for more than two decades. CRC is the second most deadly form of cancer in men and women in the United States. Nearly all CRC arises from polyps and is preventable if polyps are removed in their early stage. Recent researches show that radiologists demonstrated higher accuracy in finding polyps with CAD than without CAD. In this dissertation, we review the current status of CAD research in CT Colonography (CTC) and propose a new method to segment and detect polyps in CTC CAD."]},{"key":"dc:title","label":"Title","values":["SHAPE INFLUENCE IN MEDICAL IMAGE SEGMENTATION WITH APPLICATION IN COMPUTER AIDED DIAGNOSIS IN CT COLONOGRAPHY"]}]}],"canonical_facts":{"dc:creator":["Xu, Haiyong"],"dc:date.accessioned":["2011-07-14T20:36:31Z"],"dc:date.available":["2011-07-14T20:36:31Z"],"dc:date.issued":["2011"],"dc:description.abstract":["Computer-aided diagnosis (CAD) is a procedure in medicine that assists radiologists or physicians in the interpretation of medical images. The application of CAD in screening colorectal cancer (CRC) has been studied for more than two decades. CRC is the second most deadly form of cancer in men and women in the United States. Nearly all CRC arises from polyps and is preventable if polyps are removed in their early stage. Recent researches show that radiologists demonstrated higher accuracy in finding polyps with CAD than without CAD. In this dissertation, we review the current status of CAD research in CT Colonography (CTC) and propose a new method to segment and detect polyps in CTC CAD."],"dc:identifier.uri":["http://hdl.handle.net/10339/33502"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Computer-aided Diagnosis"],"dc:title":["SHAPE INFLUENCE IN MEDICAL IMAGE SEGMENTATION WITH APPLICATION IN COMPUTER AIDED DIAGNOSIS IN CT COLONOGRAPHY"],"dc:type":["Dissertation"]},"updated_at":"2026-07-27T22:01:20Z"}