{"id":"https://openalex.org/W2910307295","doi":"https://doi.org/10.1145/3285996.3286001","title":"Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning","display_name":"Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning","publication_year":2018,"publication_date":"2018-10-13","ids":{"openalex":"https://openalex.org/W2910307295","doi":"https://doi.org/10.1145/3285996.3286001","mag":"2910307295"},"language":"en","primary_location":{"id":"doi:10.1145/3285996.3286001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3285996.3286001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102225516","display_name":"Shujun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shujun Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079051307","display_name":"Hong Wu","orcid":"https://orcid.org/0000-0002-7019-8046"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665606","display_name":"Jie Gong","orcid":"https://orcid.org/0000-0001-5897-7023"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Gong","raw_affiliation_strings":["School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital"],"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011973757","display_name":"Ting Le","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Le","raw_affiliation_strings":["School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital"],"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077172624","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0001-9550-4188"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China","School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Chen","raw_affiliation_strings":["School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital"],"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Electronic Science and Technology of China, Department of Ultrasound, Sichuan Provincial People's Hospital","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051227924","display_name":"Zenglin Xu","orcid":"https://orcid.org/0000-0001-5550-6461"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglin Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102225516"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.8462,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81334888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10329","display_name":"Thyroid Cancer Diagnosis and Treatment","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748559713363647},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7593517303466797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6711763739585876},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6599583625793457},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.6241324543952942},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6018164157867432},{"id":"https://openalex.org/keywords/thyroid-nodules","display_name":"Thyroid nodules","score":0.6006251573562622},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5671929717063904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5076824426651001},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4677313268184662},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.45458778738975525},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43231871724128723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42559218406677246},{"id":"https://openalex.org/keywords/thyroid","display_name":"Thyroid","score":0.30090945959091187},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10611152648925781}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748559713363647},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7593517303466797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6711763739585876},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6599583625793457},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.6241324543952942},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6018164157867432},{"id":"https://openalex.org/C2779022025","wikidata":"https://www.wikidata.org/wiki/Q53829","display_name":"Thyroid nodules","level":3,"score":0.6006251573562622},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5671929717063904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5076824426651001},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4677313268184662},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.45458778738975525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43231871724128723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42559218406677246},{"id":"https://openalex.org/C526584372","wikidata":"https://www.wikidata.org/wiki/Q16399","display_name":"Thyroid","level":2,"score":0.30090945959091187},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10611152648925781},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3285996.3286001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3285996.3286001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1491235742","https://openalex.org/W1494799104","https://openalex.org/W1799045661","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1991113069","https://openalex.org/W2025484252","https://openalex.org/W2048623431","https://openalex.org/W2053967315","https://openalex.org/W2102605133","https://openalex.org/W2103929636","https://openalex.org/W2113275954","https://openalex.org/W2114487471","https://openalex.org/W2115408942","https://openalex.org/W2116040950","https://openalex.org/W2120157670","https://openalex.org/W2121947440","https://openalex.org/W2146831639","https://openalex.org/W2163605009","https://openalex.org/W2169805405","https://openalex.org/W2441649867","https://openalex.org/W2619094550","https://openalex.org/W2741754476","https://openalex.org/W2759474193","https://openalex.org/W2962914239","https://openalex.org/W2963789949","https://openalex.org/W4214537119","https://openalex.org/W4214669846","https://openalex.org/W4318425176"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W3029276719","https://openalex.org/W3125611560","https://openalex.org/W2498632914","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W45411538"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,16,32,63,70,76,102,115],"thyroid":[2,33,47,118],"nodules":[3,133],"in":[4,20],"the":[5,17,25,61,67,71,90,94,98,103],"ultrasound":[6,21,117],"image":[7,95],"is":[8,109,129],"a":[9,41,77,112,141],"chal":[10],"lenging":[11],"task":[12],"not":[13],"only":[14],"because":[15],"speckle":[18],"noise":[19],"images":[22],"but":[23],"also":[24],"heterogeneous":[26],"appearance":[27],"and":[28,50,60,73,100,139],"blurry":[29],"bound":[30],"aries":[31],"nodules.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"apply":[39],"U-Net,":[40],"fully":[42],"convolutional":[43],"neural":[44,105],"network,":[45],"to":[46,96,131],"nodule":[48,78],"segmentation,":[49],"further":[51],"proposed":[52],"an":[53],"interactive":[54],"segmentation":[55,127],"method":[56,108,128],"based":[57],"on":[58,93,111],"it":[59],"guidance":[62],"annotation":[64],"marks.":[65],"Firstly,":[66],"four":[68,83,91],"end-points":[69],"major":[72],"minor":[74],"axes":[75],"are":[79,86],"determined":[80],"manually.":[81],"Then,":[82],"white":[84],"spots":[85],"directly":[87],"drawn":[88],"at":[89],"points":[92],"guide":[97],"training":[99],"inference":[101],"deep":[104],"network.":[106],"Our":[107],"evaluated":[110],"dataset":[113],"composed":[114],"900":[116],"images.":[119],"The":[120],"experimental":[121],"results":[122],"indicate":[123],"that":[124],"our":[125],"mark-guided":[126],"able":[130],"delineate":[132],"accurately":[134],"with":[135],"little":[136],"human":[137],"intervention":[138],"achieve":[140],"remarkable":[142],"improvement":[143],"over":[144],"its":[145],"automatic":[146],"counterpart.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}