{"id":"https://openalex.org/W3164697193","doi":"https://doi.org/10.1109/isbi48211.2021.9434105","title":"DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles","display_name":"DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164697193","doi":"https://doi.org/10.1109/isbi48211.2021.9434105","mag":"3164697193"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077102153","display_name":"Sungduk Cho","orcid":"https://orcid.org/0000-0002-2154-1979"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungduk Cho","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091699437","display_name":"Hyungjoon Jang","orcid":"https://orcid.org/0000-0001-5099-6385"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungjoon Jang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101628329","display_name":"Jing Tan","orcid":"https://orcid.org/0000-0001-5873-9447"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jing Wei Tan","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025485089","display_name":"Won\u2010Ki Jeong","orcid":"https://orcid.org/0000-0002-9393-6451"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Ki Jeong","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8074041604995728},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7916080951690674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7802294492721558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7021217346191406},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6310638189315796},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6191855072975159},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.557041347026825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5368427038192749},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.5252068638801575},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5123471021652222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4858929514884949},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4217664897441864},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41967931389808655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06693735718727112}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8074041604995728},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7916080951690674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802294492721558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7021217346191406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6310638189315796},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6191855072975159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.557041347026825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5368427038192749},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.5252068638801575},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5123471021652222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4858929514884949},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4217664897441864},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41967931389808655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06693735718727112},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322107","display_name":"Korea Health Industry Development Institute","ror":"https://ror.org/00fdzyk40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W151895561","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2300469113","https://openalex.org/W2884436604","https://openalex.org/W2948553897","https://openalex.org/W2955425717","https://openalex.org/W2962914239","https://openalex.org/W3034278117","https://openalex.org/W3092103057","https://openalex.org/W3211330693","https://openalex.org/W6606194389","https://openalex.org/W6639824700","https://openalex.org/W6762718338","https://openalex.org/W6783869018"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Tumor":[0],"segmentation":[1,27,69,81,120],"is":[2,57],"a":[3],"challenging":[4],"but":[5],"crucial":[6],"task":[7],"in":[8,24,54,99,140],"digital":[9],"pathology":[10,55,158],"for":[11],"accurate":[12],"diagnosis.":[13],"Recent":[14],"studies":[15],"on":[16,156],"deep":[17,89,137],"neural":[18,90,138],"networks":[19,91,139],"have":[20],"shown":[21],"promising":[22],"results":[23],"various":[25],"image":[26,68],"problems.":[28],"However,":[29],"unlike":[30],"several":[31],"medical":[32],"imaging":[33],"modalities":[34],"(such":[35],"as":[36],"computerized":[37],"tomography,":[38],"CT":[39],"and":[40,50,60],"magnetic":[41],"resonance":[42],"imaging,":[43],"MRI),":[44],"the":[45,48,51,85,102,107,111,114,119,124,132,141,150,153],"boundary":[46],"between":[47],"normal":[49],"tumor":[52,112],"area":[53],"images":[56],"usually":[58],"fuzzy":[59],"ambiguous,":[61],"making":[62],"it":[63],"difficult":[64],"to":[65,71,144],"adapt":[66],"conventional":[67],"methods":[70],"these":[72],"images.":[73,159],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"an":[79],"interactive":[80],"method":[82,97,155],"that":[83],"corrects":[84],"segmented":[86],"boundaries":[87],"from":[88],"using":[92],"user":[93,125,146],"interaction.":[94],"The":[95],"proposed":[96,154],"functions":[98],"two":[100],"stages;":[101],"first":[103],"network":[104,116],"initially":[105],"generates":[106],"best":[108],"prediction":[109],"of":[110,136,152],"boundary;":[113],"second":[115],"then":[117],"refines":[118],"iteratively":[121],"by":[122],"exploiting":[123],"scribble":[126],"annotations":[127],"on-the-fly.":[128],"Our":[129],"approach":[130],"leverages":[131],"feature":[133],"learning":[134],"aspects":[135],"correction":[142],"step":[143],"reduce":[145],"effort.":[147],"We":[148],"demonstrate":[149],"efficacy":[151],"real":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}