{"id":"https://openalex.org/W4361981915","doi":"https://doi.org/10.1109/tase.2023.3261344","title":"Multi-Level Object-Aware Guidance Network for Biomedical Image Segmentation","display_name":"Multi-Level Object-Aware Guidance Network for Biomedical Image Segmentation","publication_year":2023,"publication_date":"2023-03-31","ids":{"openalex":"https://openalex.org/W4361981915","doi":"https://doi.org/10.1109/tase.2023.3261344"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2023.3261344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3261344","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5026540573","display_name":"Huisi Wu","orcid":"https://orcid.org/0000-0002-0399-9089"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huisi Wu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0399-9089","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083377281","display_name":"Baiming Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiming Zhang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006165198","display_name":"J. F. Pan","orcid":"https://orcid.org/0000-0002-9547-5724"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junquan Pan","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9547-5724","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005393674","display_name":"Jing Qin","orcid":"https://orcid.org/0000-0002-2961-0860"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Qin","raw_affiliation_strings":["Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China","School of Nursing, Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-2961-0860","affiliations":[{"raw_affiliation_string":"Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Nursing, Centre for Smart Health, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4553,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8164154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"3","first_page":"2440","last_page":"2453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9993000030517578,"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/T10862","display_name":"AI in cancer detection","score":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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":0.7701851725578308},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6951818466186523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946390628814697},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5507871508598328},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.55025315284729},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5171603560447693},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5088746547698975},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49854469299316406},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49711349606513977},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4497143030166626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4412664473056793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43790215253829956},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4319148063659668},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42818576097488403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10113459825515747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701851725578308},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6951818466186523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946390628814697},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5507871508598328},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.55025315284729},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5171603560447693},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5088746547698975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49854469299316406},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49711349606513977},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4497143030166626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4412664473056793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43790215253829956},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4319148063659668},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42818576097488403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10113459825515747},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2023.3261344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3261344","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5286851128","display_name":null,"funder_award_id":"61973221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6694410858","display_name":null,"funder_award_id":"62273241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1488931338","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1950315773","https://openalex.org/W2101608218","https://openalex.org/W2127644182","https://openalex.org/W2140134016","https://openalex.org/W2155023448","https://openalex.org/W2188119724","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2564782580","https://openalex.org/W2752782242","https://openalex.org/W2799166040","https://openalex.org/W2805191397","https://openalex.org/W2883311907","https://openalex.org/W2900237898","https://openalex.org/W2911873662","https://openalex.org/W2914959431","https://openalex.org/W2915232829","https://openalex.org/W2921406441","https://openalex.org/W2924464923","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963730812","https://openalex.org/W2966708817","https://openalex.org/W2973444944","https://openalex.org/W2981899103","https://openalex.org/W2989028599","https://openalex.org/W2990775046","https://openalex.org/W2991372685","https://openalex.org/W2996290406","https://openalex.org/W2997286550","https://openalex.org/W2998092949","https://openalex.org/W3004101089","https://openalex.org/W3013198566","https://openalex.org/W3033020497","https://openalex.org/W3035050607","https://openalex.org/W3037414627","https://openalex.org/W3040396712","https://openalex.org/W3042178342","https://openalex.org/W3047385447","https://openalex.org/W3090920939","https://openalex.org/W3092447054","https://openalex.org/W3094414183","https://openalex.org/W3117876421","https://openalex.org/W3134036841","https://openalex.org/W3159637683","https://openalex.org/W3169965180","https://openalex.org/W3176127036","https://openalex.org/W3198451673","https://openalex.org/W4285178161","https://openalex.org/W4288277460","https://openalex.org/W4298110661","https://openalex.org/W4312251707","https://openalex.org/W6687029160","https://openalex.org/W6750469568","https://openalex.org/W6751420435","https://openalex.org/W6760897771","https://openalex.org/W6766844300"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2475857072","https://openalex.org/W4366341510","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W2906397153","https://openalex.org/W2385445039"],"abstract_inverted_index":{"Most":[0],"state-of-the-art":[1,225],"models":[2],"for":[3,206,245],"biomedical":[4,176,239,260,311],"image":[5,177,261,312],"segmentation":[6,178,185,237,262,313],"are":[7],"developed":[8],"based":[9],"on":[10,173,194,209,309],"U-shape":[11],"architecture,":[12],"which":[13,109],"has":[14,333],"two":[15,207],"renowned,":[16],"yet":[17],"mutually":[18],"affected,":[19],"shortcomings:":[20],"1)":[21],"difficulties":[22],"in":[23,33,142,192,204,227,252],"capturing":[24],"global":[25,54,112,274],"long-range":[26],"dependencies,":[27,113],"and":[28,62,92,96,119,190,202,249,281,295,303,332,344],"2)":[29],"semantic":[30,65,99,148],"information":[31,66,100,149],"dilution":[32,67],"the":[34,60,70,76,80,87,103,143,157,170,217,220,301,334],"decoding":[35],"process.":[36],"In":[37,132],"this":[38,151],"paper,":[39],"we":[40,74,134],"propose":[41],"a":[42,46,136,210,242,258,267,278,282,328],"novel":[43,259],"network":[44,61,77],"with":[45,106,127,180,187,266,315],"new":[47,268],"object-aware":[48,269],"module":[49,140,270,286],"(OAM)":[50,271],"to":[51,84,102,123,146,155,234,272,288,336,339],"effectively":[52],"establish":[53],"dependencies":[55,276],"at":[56],"multiple":[57],"levels":[58],"within":[59],"compensate":[63],"high-level":[64],"when":[68,160],"fusing":[69,161],"extracted":[71,163],"multi-level":[72],"features;":[73],"call":[75],"MOG-Net.":[78],"Specifically,":[79],"OAM":[81,115,145],"is":[82,116,153,241],"designed":[83],"figure":[85],"out":[86],"relations":[88],"between":[89],"each":[90],"pixel":[91],"targeting":[93],"object":[94],"region":[95],"recalibrate":[97],"class-level":[98],"according":[101],"relations.":[104],"Compared":[105],"non-local":[107],"models,":[108],"construct":[110],"pixel-wise":[111],"our":[114,322],"more":[117],"efficient":[118],"target-specific,":[120],"enabling":[121],"us":[122],"achieve":[124],"satisfactory":[125],"results":[126,215],"less":[128],"extra":[129],"computational":[130],"overhead.":[131],"addition,":[133],"embed":[135],"pyramid":[137,283],"context":[138,275,284],"encoder":[139,285],"(PCEM)":[141,287],"proposed":[144,171,221,307,323],"alleviate":[147],"dilution;":[150],"scheme":[152],"able":[154],"bridge":[156],"spatial-semantic":[158],"gap":[159],"features":[162],"from":[164,277],"different":[165,181,316],"levels.":[166],"We":[167,298,319],"extensively":[168],"evaluate":[169],"MOG-Net":[172,308],"four":[174],"diverse":[175,310],"tasks":[179,251,314],"imaging":[182,317],"modalities,":[183],"achieving":[184],"performance":[186],"88.19%,":[188],"90.95%":[189],"66.03%":[191],"Dice":[193,205],"three":[195],"one-class":[196],"datasets,":[197],"as":[198,200,327],"well":[199],"88.83%":[201],"87.11%":[203],"classes":[208],"multi-class":[211],"dataset,":[212],"respectively.":[213],"Experimental":[214],"demonstrate":[216,300],"effectiveness":[218,302],"of":[219,238,293,306],"method,":[222],"consistently":[223],"outperforming":[224],"methods":[226],"most":[228],"evaluation":[229],"metrics.":[230],"<italic":[231],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[232],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[233],"Practitioners</i>":[235],"\u2014Semantic":[236],"images":[240],"critical":[243],"prerequisite":[244],"subsequent":[246],"diagnosis,":[247],"treatment,":[248],"quantitative":[250],"clinical":[253,330,345],"practice.":[254],"This":[255],"article":[256],"proposes":[257],"network,":[263],"namely":[264],"MOG-Net,":[265],"model":[273],"category":[279],"perspective":[280],"enhance":[289],"feature":[290],"representation":[291],"capabilities":[292],"spatial":[294],"channel":[296],"dimensions.":[297],"experimentally":[299],"generalization":[304],"capability":[305],"modalities.":[318],"believe":[320],"that":[321],"method":[324],"can":[325],"serve":[326],"practical":[329],"tool":[331],"potential":[335],"be":[337],"applied":[338],"existing":[340],"computer-aided":[341],"medical":[342],"systems":[343],"measurement.":[346]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}