{"id":"https://openalex.org/W4415958651","doi":"https://doi.org/10.1109/tip.2025.3623259","title":"Probability Map-Guided Network for 3D Volumetric Medical Image Segmentation","display_name":"Probability Map-Guided Network for 3D Volumetric Medical Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415958651","doi":"https://doi.org/10.1109/tip.2025.3623259","pmid":"https://pubmed.ncbi.nlm.nih.gov/41187034"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3623259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3623259","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5079239707","display_name":"Zhiqin Zhu","orcid":"https://orcid.org/0000-0002-3883-2529"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqin Zhu","raw_affiliation_strings":["College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3883-2529","affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091912593","display_name":"Zimeng Zhang","orcid":"https://orcid.org/0000-0002-0973-8891"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimeng Zhang","raw_affiliation_strings":["College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006116691","display_name":"Guanqiu Qi","orcid":"https://orcid.org/0000-0001-9562-3865"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanqiu Qi","raw_affiliation_strings":["Computer Information Systems Department, State University of New York at Buffalo State, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-9562-3865","affiliations":[{"raw_affiliation_string":"Computer Information Systems Department, State University of New York at Buffalo State, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737","https://openalex.org/I115441956"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0001-7745-5263"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Li","raw_affiliation_strings":["College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-7745-5263","affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106892080","display_name":"Pan Yang","orcid":"https://orcid.org/0009-0007-2103-4284"},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210097509","display_name":"Second Affiliated Hospital of Chongqing Medical University","ror":"https://ror.org/00r67fz39","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097509"]},{"id":"https://openalex.org/I87780372","display_name":"Chongqing Medical University","ror":"https://ror.org/017z00e58","country_code":"CN","type":"education","lineage":["https://openalex.org/I87780372"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Yang","raw_affiliation_strings":["Emergency Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emergency Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I87780372","https://openalex.org/I4210097509"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Department of Biomedical Engineering and Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2211-3535","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.3523,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99544332,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"7222","last_page":"7234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.29350000619888306,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.29350000619888306,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.10899999737739563,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.06300000101327896,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6159999966621399},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6119999885559082},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.597599983215332},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5521000027656555},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5519999861717224},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4912000000476837},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4742000102996826},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4514999985694885}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7932999730110168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739000082015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6211000084877014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6159999966621399},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6119999885559082},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5519999861717224},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.445499986410141},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41440001130104065},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3671000003814697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3359000086784363},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.32260000705718994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3158999979496002},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3043999969959259},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2870999872684479},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.27889999747276306}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3623259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3623259","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41187034","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41187034","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G213421764","display_name":null,"funder_award_id":"62576062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3399967434","display_name":null,"funder_award_id":"JZ2024HGTB0231","funder_id":"https://openalex.org/F3516509085","funder_display_name":"Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology"},{"id":"https://openalex.org/G4796041494","display_name":null,"funder_award_id":"U23A20294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4945367125","display_name":null,"funder_award_id":"62176081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6483662940","display_name":null,"funder_award_id":"62576132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F3516509085","display_name":"Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology","ror":null},{"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":45,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2004928853","https://openalex.org/W2118386984","https://openalex.org/W2464708700","https://openalex.org/W2910094941","https://openalex.org/W2946019774","https://openalex.org/W3014974815","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3147501781","https://openalex.org/W3158290426","https://openalex.org/W3203841574","https://openalex.org/W3203934469","https://openalex.org/W3208438369","https://openalex.org/W4212875960","https://openalex.org/W4221163766","https://openalex.org/W4226039775","https://openalex.org/W4289654558","https://openalex.org/W4295934721","https://openalex.org/W4296123084","https://openalex.org/W4307726656","https://openalex.org/W4312336332","https://openalex.org/W4312568229","https://openalex.org/W4320728002","https://openalex.org/W4322707229","https://openalex.org/W4383215554","https://openalex.org/W4384159609","https://openalex.org/W4386075998","https://openalex.org/W4389514235","https://openalex.org/W4390874575","https://openalex.org/W4391952683","https://openalex.org/W4392845143","https://openalex.org/W4392969647","https://openalex.org/W4396677248","https://openalex.org/W4399571984","https://openalex.org/W4400519485","https://openalex.org/W4401635213","https://openalex.org/W4401748828","https://openalex.org/W4402660118","https://openalex.org/W4402904115","https://openalex.org/W4402956007","https://openalex.org/W4405303762","https://openalex.org/W4406605146","https://openalex.org/W4406610928","https://openalex.org/W4408441604"],"related_works":[],"abstract_inverted_index":{"3D":[0,94,223],"medical":[1,96,224],"images":[2],"are":[3,46,110],"volumetric":[4,95],"data":[5],"that":[6,217],"provide":[7,15],"spatial":[8,197],"continuity":[9],"and":[10,74,190],"multi-dimensional":[11],"information.":[12],"These":[13],"features":[14,109],"rich":[16],"anatomical":[17],"context.":[18],"However,":[19],"their":[20],"anisotropy":[21],"may":[22,50,70,75],"result":[23],"in":[24,64,166],"reduced":[25],"image":[26,97,225],"detail":[27],"along":[28],"certain":[29],"directions.":[30],"This":[31,49,68,135],"can":[32],"cause":[33],"blurring":[34],"or":[35,42,62],"distortion":[36],"between":[37],"slices.":[38],"In":[39],"addition,":[40,167],"global":[41],"local":[43,132],"intensity":[44],"inhomogeneities":[45],"often":[47],"observed.":[48],"be":[51],"due":[52],"to":[53,83,115,153,158,162],"limitations":[54],"of":[55,139,182],"the":[56,65,81,107,117,137,155,163,183,196,202,218],"imaging":[57],"equipment,":[58],"inappropriate":[59],"scanning":[60],"parameters,":[61],"variations":[63],"patient's":[66],"anatomy.":[67],"inhomogeneity":[69],"blur":[71],"lesion":[72],"boundaries":[73],"also":[76],"mask":[77],"true":[78,164],"features,":[79],"causing":[80],"model":[82],"focus":[84],"on":[85,173,211],"irrelevant":[86],"regions.":[87],"Therefore,":[88],"a":[89,168],"probability":[90,103,122,156,203],"map-guided":[91],"network":[92],"for":[93],"segmentation":[98,118,226],"(3D-PMGNet)":[99],"is":[100,126,151,177,187,193],"proposed.":[101],"The":[102,179,205,228],"maps":[104,186],"generated":[105],"from":[106,201],"intermediate":[108],"used":[111],"as":[112],"supervisory":[113],"signals":[114],"guide":[116],"process.":[119],"A":[120,146],"new":[121],"map":[123],"reconstruction":[124],"method":[125,171,207,220],"designed,":[127],"combining":[128],"dynamic":[129,174],"thresholding":[130],"with":[131],"adaptive":[133],"smoothing.":[134],"enhances":[136],"reliability":[138],"high-response":[140],"regions":[141],"while":[142],"suppressing":[143],"low-response":[144],"noise.":[145],"learnable":[147],"channel-wise":[148],"temperature":[149],"coefficient":[150],"introduced":[152],"adjust":[154],"distribution":[157],"make":[159],"it":[160],"closer":[161],"distribution;":[165],"feature":[169,185],"fusion":[170],"based":[172],"prompt":[175],"encoding":[176,199],"developed.":[178],"response":[180],"strength":[181],"main":[184],"dynamically":[188],"adjusted,":[189],"this":[191],"adjustment":[192],"achieved":[194],"through":[195],"position":[198],"derived":[200],"maps.":[204],"proposed":[206,219],"has":[208],"been":[209,232],"evaluated":[210],"four":[212],"datasets.":[213],"Experimental":[214],"results":[215],"show":[216],"outperforms":[221],"state-of-the-art":[222],"methods.":[227],"source":[229],"codes":[230],"have":[231],"publicly":[233],"released":[234],"at":[235],"https://github.com/ZHANGZIMENG01/3D-PMGNet.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-11-05T00:00:00"}
