{"id":"https://openalex.org/W2980194658","doi":"https://doi.org/10.1007/978-3-030-33391-1_12","title":"Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions","display_name":"Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2980194658","doi":"https://doi.org/10.1007/978-3-030-33391-1_12","mag":"2980194658"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-33391-1_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33391-1_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5101025003","display_name":"Akihiro Fukuda","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akihiro Fukuda","raw_affiliation_strings":["Research and Development Department, LPixel Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Research and Development Department, LPixel Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022512145","display_name":"Tadashi Miyamoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tadashi Miyamoto","raw_affiliation_strings":["Research and Development Department, LPixel Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Research and Development Department, LPixel Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069485703","display_name":"Shunsuke Kamba","orcid":"https://orcid.org/0000-0002-8491-7224"},"institutions":[{"id":"https://openalex.org/I115498069","display_name":"Jikei University School of Medicine","ror":"https://ror.org/039ygjf22","country_code":"JP","type":"education","lineage":["https://openalex.org/I115498069"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Kamba","raw_affiliation_strings":["Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan","institution_ids":["https://openalex.org/I115498069"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073967518","display_name":"Kazuki Sumiyama","orcid":"https://orcid.org/0000-0002-7976-6070"},"institutions":[{"id":"https://openalex.org/I115498069","display_name":"Jikei University School of Medicine","ror":"https://ror.org/039ygjf22","country_code":"JP","type":"education","lineage":["https://openalex.org/I115498069"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Sumiyama","raw_affiliation_strings":["Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan","institution_ids":["https://openalex.org/I115498069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101025003"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.814,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90953347,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9836999773979187,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.7801880836486816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7271050810813904},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6889345645904541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6167821288108826},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5307844877243042},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.501671552658081},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4957362115383148},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4650944471359253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3903101682662964},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34599989652633667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801880836486816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7271050810813904},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6889345645904541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6167821288108826},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5307844877243042},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.501671552658081},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4957362115383148},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4650944471359253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3903101682662964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34599989652633667},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-33391-1_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33391-1_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1972567317","https://openalex.org/W2062316916","https://openalex.org/W2083441748","https://openalex.org/W2111147183","https://openalex.org/W2151255896","https://openalex.org/W2168344957","https://openalex.org/W2256724915","https://openalex.org/W2281339275","https://openalex.org/W2559773805","https://openalex.org/W2620350742","https://openalex.org/W2807195518","https://openalex.org/W2809596283","https://openalex.org/W2894010682","https://openalex.org/W2909244736","https://openalex.org/W2913899589","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W3101355225"],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W4229543669","https://openalex.org/W3109545856","https://openalex.org/W4288069866","https://openalex.org/W4389232935","https://openalex.org/W3155045749","https://openalex.org/W1783185948","https://openalex.org/W615772105","https://openalex.org/W2999505641","https://openalex.org/W2401866201"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
