{"id":"https://openalex.org/W2883889914","doi":"https://doi.org/10.1007/978-3-030-00949-6_2","title":"Multi-resolution Networks for Semantic Segmentation in Whole Slide Images","display_name":"Multi-resolution Networks for Semantic Segmentation in Whole Slide Images","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883889914","doi":"https://doi.org/10.1007/978-3-030-00949-6_2","mag":"2883889914"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00949-6_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00949-6_2","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/A5078359064","display_name":"Feng Gu","orcid":"https://orcid.org/0000-0001-5337-4282"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng Gu","raw_affiliation_strings":["ContextVision AB, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"ContextVision AB, Link\u00f6ping, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072956692","display_name":"Nikolay Burlutskiy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolay Burlutskiy","raw_affiliation_strings":["ContextVision AB, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"ContextVision AB, Link\u00f6ping, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860693","display_name":"Mats Andersson","orcid":"https://orcid.org/0000-0002-9367-085X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mats Andersson","raw_affiliation_strings":["ContextVision AB, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"ContextVision AB, Link\u00f6ping, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011942565","display_name":"Lena Kajland Wil\u00e9n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lena Kajland Wil\u00e9n","raw_affiliation_strings":["ContextVision AB, Link\u00f6ping, Sweden"],"affiliations":[{"raw_affiliation_string":"ContextVision AB, Link\u00f6ping, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078359064"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.5287,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94779563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9897000193595886,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.877027153968811},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7289339303970337},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7104823589324951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6558992862701416},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5952917337417603},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5612713694572449},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.499330997467041},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4969971477985382},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4609447419643402},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.44581204652786255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4355441927909851},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4283900856971741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3828728497028351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3547801077365875},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08537411689758301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.877027153968811},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7289339303970337},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7104823589324951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6558992862701416},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5952917337417603},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5612713694572449},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.499330997467041},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4969971477985382},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4609447419643402},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.44581204652786255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4355441927909851},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4283900856971741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3828728497028351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547801077365875},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08537411689758301},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-00949-6_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00949-6_2","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":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W6585196","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1923697677","https://openalex.org/W2104967324","https://openalex.org/W2568169941","https://openalex.org/W2609077090","https://openalex.org/W2766607545","https://openalex.org/W2772723798","https://openalex.org/W2774292910","https://openalex.org/W2782364420","https://openalex.org/W2884570661","https://openalex.org/W2962850830","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964252887","https://openalex.org/W3038058348","https://openalex.org/W3101507774","https://openalex.org/W6600007113","https://openalex.org/W6602415781","https://openalex.org/W6605946209"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W1975767702","https://openalex.org/W4293226380","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W4249847449","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W44395729"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
