{"id":"https://openalex.org/W4401749829","doi":"https://doi.org/10.1109/isbi56570.2024.10635255","title":"U-HRMLP: Refining Segmentation Boundaries in Histopathology Images","display_name":"U-HRMLP: Refining Segmentation Boundaries in Histopathology Images","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401749829","doi":"https://doi.org/10.1109/isbi56570.2024.10635255"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635255","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5100453381","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0001-5004-160X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009819154","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9629-5995"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Shandong Normal University,School of Information Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong Normal University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029207323","display_name":"Weijie Wang","orcid":"https://orcid.org/0000-0002-1168-3527"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Weijie Wang","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022305248","display_name":"Mingrui Ma","orcid":"https://orcid.org/0000-0002-0579-1505"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Ma","raw_affiliation_strings":["Kunming University of Science and Technology,Faculty of Information Engineering and Automation,China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Faculty of Information Engineering and Automation,China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102862351","display_name":"Ye Zhang","orcid":"https://orcid.org/0009-0002-3396-1978"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["Northeast Normal University,School of Information Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,School of Information Science and Technology,China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698809","display_name":"He Zhao","orcid":"https://orcid.org/0000-0002-3988-2851"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhao","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101576374","display_name":"Guixia Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixia Liu","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100453381"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65795102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"5"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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/refining","display_name":"Refining (metallurgy)","score":0.6745818257331848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.630479633808136},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.6046426296234131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.580350399017334},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5645298957824707},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5493804216384888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5100246071815491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38236621022224426},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11436104774475098},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07567983865737915},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.07022079825401306},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.05130577087402344}],"concepts":[{"id":"https://openalex.org/C60044698","wikidata":"https://www.wikidata.org/wiki/Q1283324","display_name":"Refining (metallurgy)","level":2,"score":0.6745818257331848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630479633808136},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.6046426296234131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.580350399017334},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5645298957824707},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5493804216384888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5100246071815491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38236621022224426},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11436104774475098},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07567983865737915},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.07022079825401306},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.05130577087402344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635255","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null},{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2288892845","https://openalex.org/W2981994674","https://openalex.org/W3014641072","https://openalex.org/W3115552777","https://openalex.org/W3157506437","https://openalex.org/W3197957534","https://openalex.org/W3203480968","https://openalex.org/W4221166808","https://openalex.org/W4288077770","https://openalex.org/W4289752563","https://openalex.org/W4313527235","https://openalex.org/W4321328679","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W1595345252","https://openalex.org/W3039419443","https://openalex.org/W4386772532","https://openalex.org/W4393212117","https://openalex.org/W2392526918","https://openalex.org/W2362540361","https://openalex.org/W2019560916","https://openalex.org/W2361983698","https://openalex.org/W2347697528","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmenting":[0],"regions":[1],"of":[2,34,43,68,86,119,125],"interest":[3],"in":[4,89],"histopathology":[5],"images":[6],"is":[7,25],"a":[8,60,65,77],"critical":[9],"prerequisite":[10],"for":[11],"biomedical":[12],"applications.":[13],"CNN-based":[14],"models":[15],"have":[16],"advanced":[17],"medical":[18],"image":[19,87,106],"segmentation,":[20],"yet":[21],"accurately":[22],"delineating":[23],"boundaries":[24],"still":[26],"challenging.":[27],"This":[28],"challenge":[29],"arises":[30],"from":[31],"the":[32,41,50,84,90,112,116,123,130],"loss":[33,85],"spatial":[35],"resolution":[36,88,109],"due":[37],"to":[38,49,82,104,115],"downsampling":[39],"and":[40,70,108,122,132,143],"complexity":[42],"capturing":[44],"contextual":[45],"information":[46],"when":[47],"upsampling":[48],"original":[51],"resolution.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57,75,98],"design":[58],"U-HRMLP,":[59],"U-shaped":[61],"network":[62],"based":[63],"on":[64,129],"hybrid":[66],"combination":[67],"HRNet":[69],"Multi-Layer":[71],"Perceptron":[72],"(MLP).":[73],"Specifically,":[74],"propose":[76,99],"multi-scale":[78],"feature":[79],"fusion":[80],"module":[81],"avoid":[83],"encoding":[91],"stage":[92],"as":[93,95],"much":[94],"possible.":[96],"Simultaneously,":[97],"an":[100],"MLP-based":[101],"decoding":[102],"block":[103],"recover":[105],"details":[107],"progressively,":[110],"alleviating":[111],"issues":[113],"related":[114],"inadequate":[117],"segmentation":[118],"smaller":[120],"objects":[121],"blurring":[124],"tissue":[126],"boundaries.":[127],"Results":[128],"MoNuSeg":[131],"GlaS":[133],"datasets":[134],"demonstrate":[135],"that":[136],"U-HRMLP":[137],"outperforms":[138],"conventional":[139],"or":[140],"transformer-based":[141],"methods":[142],"achieves":[144],"state-of-":[145],"the-art":[146],"performance.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}