{"id":"https://openalex.org/W4200527727","doi":"https://doi.org/10.1109/csit52700.2021.9648669","title":"Automatic Segmentation of Immunohistochemical Images Based on U-net Architecture","display_name":"Automatic Segmentation of Immunohistochemical Images Based on U-net Architecture","publication_year":2021,"publication_date":"2021-09-22","ids":{"openalex":"https://openalex.org/W4200527727","doi":"https://doi.org/10.1109/csit52700.2021.9648669"},"language":"en","primary_location":{"id":"doi:10.1109/csit52700.2021.9648669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit52700.2021.9648669","pdf_url":null,"source":{"id":"https://openalex.org/S4363608067","display_name":"2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)","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/A5086209954","display_name":"Oleh Berezsky","orcid":"https://orcid.org/0000-0001-9931-4154"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleh Berezsky","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062532429","display_name":"Oleh Pitsun","orcid":"https://orcid.org/0000-0003-0280-8786"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleh Pitsun","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112724036","display_name":"Bohdan Derysh","orcid":null},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Bohdan Derysh","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040179361","display_name":"Ihor Pazdriy","orcid":null},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Ihor Pazdriy","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089223035","display_name":"Grygoriy Melnyk","orcid":"https://orcid.org/0000-0003-0646-7448"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Grygory Melnyk","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089158732","display_name":"Yuriy Batko","orcid":"https://orcid.org/0000-0002-6732-4865"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Yuriy Batko","raw_affiliation_strings":["Department of computer engineering, WUNU, Ternopil, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of computer engineering, WUNU, Ternopil, Ukraine","institution_ids":["https://openalex.org/I160977438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6342,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71543438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9825999736785889,"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":0.9825999736785889,"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":0.9343000054359436,"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8074252605438232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7693264484405518},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6854798197746277},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6825005412101746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6090744137763977},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6063250303268433},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5949810743331909},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5721413493156433},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5257980227470398},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.509178102016449},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.46295908093452454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2514013946056366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074252605438232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7693264484405518},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6854798197746277},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6825005412101746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6090744137763977},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6063250303268433},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5949810743331909},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5721413493156433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5257980227470398},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.509178102016449},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.46295908093452454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2514013946056366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit52700.2021.9648669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit52700.2021.9648669","pdf_url":null,"source":{"id":"https://openalex.org/S4363608067","display_name":"2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2167510172","https://openalex.org/W2764063958","https://openalex.org/W2914272101","https://openalex.org/W2962914239","https://openalex.org/W2979506564","https://openalex.org/W3046129945","https://openalex.org/W3122615286","https://openalex.org/W6684372118","https://openalex.org/W6781887225"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,17,34,41,74,96,102,108,114,118,122,130,134,141,148,152],"application":[4,85],"of":[5,12,24,26,36,43,76,89,98,107,116,133,140,143,154,156],"convolutional":[6],"neural":[7,53,109,135],"networks":[8,54],"for":[9,86],"automatic":[10,79,87],"segmentation":[11,25,44,88,99,144],"immunohistochemical":[13,27,90],"images":[14,28],"based":[15,100],"on":[16,101,113],"U-net":[18,56],"architecture":[19],"is":[20,46,111],"investigated.":[21],"The":[22,65,81],"quality":[23,97,142],"plays":[29],"a":[30,47,137],"key":[31],"role":[32],"at":[33],"stage":[35,75],"recognition":[37],"and":[38,49,78],"classification,":[39],"so":[40],"selection":[42],"algorithms":[45],"time-consuming":[48],"important":[50],"process.":[51],"Recently,":[52],"with":[55,121,147],"typology":[57],"are":[58],"increasingly":[59],"used":[60],"to":[61,94],"implement":[62],"image":[63,69,120,123,150],"segmentation.":[64,80],"authors":[66],"present":[67],"an":[68,84,126],"processing":[70],"algorithm,":[71],"which":[72,92],"includes":[73],"pre-processing":[77],"program":[82],"implemented":[83],"images,":[91],"allowed":[93],"improve":[95],"training":[103],"sample.":[104],"Comparative":[105],"analysis":[106,139],"network":[110],"formed":[112],"basis":[115],"comparing":[117],"resulting":[119],"processed":[124],"by":[125,151],"expert.":[127],"To":[128],"select":[129],"best":[131],"parameters":[132],"network,":[136],"comparative":[138],"in":[145],"comparison":[146],"reference":[149],"criterion":[153],"\u201cnumber":[155],"iterations\u201d.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
