{"id":"https://openalex.org/W2914315635","doi":"https://doi.org/10.1109/bibm.2018.8621348","title":"A Multi-scale Pyramid of Fully Convolutional Networks for Automatic Cell Detection","display_name":"A Multi-scale Pyramid of Fully Convolutional Networks for Automatic Cell Detection","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914315635","doi":"https://doi.org/10.1109/bibm.2018.8621348","mag":"2914315635"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5044514611","display_name":"Jiang Gu","orcid":"https://orcid.org/0000-0002-0706-8329"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiang Gu","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054623682","display_name":"Yichen Zhu","orcid":"https://orcid.org/0000-0001-5126-838X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yichen Zhu","raw_affiliation_strings":["Department of Statistical Sciences, University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068318066","display_name":"Bohong Yang","orcid":"https://orcid.org/0000-0001-7284-688X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohong Yang","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036836922","display_name":"Jingkai Jia Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]},{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jingkai Jia Yang","raw_affiliation_strings":["Changhai Hospital of Shanghai, Shanghai, China","Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Changhai Hospital of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102330992","display_name":"Juanjuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]},{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Juanjuan Wang Yang","raw_affiliation_strings":["Changhai Hospital of Shanghai, Shanghai, China","Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Changhai Hospital of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064719603","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-6624-197X"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jian Yang Yang","raw_affiliation_strings":["Changhai Hospital of Shanghai, Shanghai, China","Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Changhai Hospital of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Shanghai Intelligent Medical Tech Co.,Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118983653","display_name":"Wenqiang Zhang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Zhang Yang","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5044514611"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61827286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"633","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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":0.9980000257492065,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8278919458389282},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7328010201454163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7094919085502625},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6900981068611145},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6251717209815979},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6195178031921387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096035003662109},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4805079698562622},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4794832170009613},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4584997594356537},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42996129393577576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4252217710018158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33008772134780884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2620794177055359},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07805061340332031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278919458389282},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7328010201454163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7094919085502625},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6900981068611145},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6251717209815979},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6195178031921387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096035003662109},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4805079698562622},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4794832170009613},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4584997594356537},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42996129393577576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4252217710018158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33008772134780884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2620794177055359},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07805061340332031},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7300000190734863,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325435","display_name":"Changhai Hospital of Shanghai","ror":"https://ror.org/02bjs0p66"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W33993649","https://openalex.org/W2138763931","https://openalex.org/W2141694668","https://openalex.org/W2150461375","https://openalex.org/W2151608510","https://openalex.org/W2248620004","https://openalex.org/W2286929393","https://openalex.org/W2312404985","https://openalex.org/W2398921440","https://openalex.org/W2438635651","https://openalex.org/W2560920277","https://openalex.org/W2781390193","https://openalex.org/W2884561390","https://openalex.org/W2963351448","https://openalex.org/W2963840672","https://openalex.org/W2964309882","https://openalex.org/W6712450407","https://openalex.org/W6730513390"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2022849497","https://openalex.org/W2407190427","https://openalex.org/W3081299480","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W2053928191"],"abstract_inverted_index":{"Cell":[0],"detection":[1,33,40,138],"from":[2,82,145],"the":[3,14,47,53,68,83,100,122,143,160,163],"histology":[4,50,156],"images":[5],"is":[6,25,34,41,132,150],"a":[7,26,42,94,114,133,153,171,175],"crucial":[8],"prerequisite":[9],"step":[10],"to":[11,46,70,98,119],"narrow":[12],"down":[13],"interested":[15],"areas":[16],"for":[17],"important":[18],"following":[19],"analyses.":[20],"While":[21],"detecting":[22],"cell":[23,32,39,56,72,109,137],"manually":[24],"time-consuming":[27],"and":[28,59,89,105,128,159],"labor-intensive":[29],"work,":[30],"automatic":[31,38],"in":[35,55,136],"demand.":[36],"However,":[37],"challenging":[43],"task":[44],"due":[45],"complexity":[48],"of":[49,85,116],"images,":[51],"including":[52],"variations":[54],"size,":[57],"shape":[58],"texture.":[60],"Previous":[61],"methods":[62,79],"favour":[63],"handcrafted":[64],"features,":[65],"which":[66,131],"lack":[67],"robustness":[69],"different":[71],"types,":[73],"while":[74],"convolutional":[75],"neural":[76],"network":[77,96],"based":[78],"often":[80],"suffer":[81],"problem":[84,135],"maintaining":[86],"spatial":[87,103],"information":[88,104,107],"semantic":[90,106],"information.":[91],"We":[92,111],"propose":[93],"novel":[95],"structure":[97],"leverage":[99],"balance":[101],"between":[102,125],"on":[108,152],"detection.":[110],"also":[112],"design":[113],"variant":[115],"focal":[117],"loss":[118],"deal":[120],"with":[121],"severe":[123],"imbalance":[124],"nuclei":[126],"pixels":[127],"background":[129],"pixels,":[130],"common":[134],"that":[139],"may":[140],"greatly":[141],"affect":[142],"results":[144],"network.":[146],"Our":[147],"proposed":[148],"method":[149,166],"evaluated":[151],"typical":[154],"colorectal":[155],"image":[157],"dataset":[158],"result":[161],"outperforms":[162],"previous":[164],"state-of-the-art":[165,177],"(F1":[167,178],"score":[168,179],"0.834)":[169],"by":[170],"large":[172],"margin,":[173],"achieving":[174],"new":[176],"0.889).":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}