{"id":"https://openalex.org/W4403123719","doi":"https://doi.org/10.1109/tmi.2024.3474028","title":"GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images","display_name":"GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403123719","doi":"https://doi.org/10.1109/tmi.2024.3474028","pmid":"https://pubmed.ncbi.nlm.nih.gov/39365717"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3474028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3474028","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5107394865","display_name":"Yanfeng Zhou","orcid":"https://orcid.org/0000-0001-5988-5331"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Zhou","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5988-5331","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lingrui Li","orcid":"https://orcid.org/0009-0004-4532-9384"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingrui Li","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4532-9384","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenlong Wang","orcid":"https://orcid.org/0009-0006-3235-6150"},"institutions":[{"id":"https://openalex.org/I4210124598","display_name":"Palo Alto Institute","ror":"https://ror.org/02xf01n45","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210124598"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenlong Wang","raw_affiliation_strings":["BioMap Research, Palo Alto, CA, USA","BioMap Research, California, USA"],"raw_orcid":"https://orcid.org/0009-0006-3235-6150","affiliations":[{"raw_affiliation_string":"BioMap Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210124598"]},{"raw_affiliation_string":"BioMap Research, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Le Song","orcid":"https://orcid.org/0000-0002-9655-2787"},"institutions":[{"id":"https://openalex.org/I4210124598","display_name":"Palo Alto Institute","ror":"https://ror.org/02xf01n45","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210124598"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Song","raw_affiliation_strings":["BioMap Research, Palo Alto, CA, USA","BioMap Research, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-9655-2787","affiliations":[{"raw_affiliation_string":"BioMap Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210124598"]},{"raw_affiliation_string":"BioMap Research, California, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021147939","display_name":"Ge Yang","orcid":"https://orcid.org/0000-0001-6176-3130"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Yang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6176-3130","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.0377,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87588869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"44","issue":"2","first_page":"1058","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9376000165939331,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.645050048828125},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6271851062774658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5865538120269775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5386277437210083},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5350227355957031},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5115881562232971},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49619418382644653},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48076316714286804},{"id":"https://openalex.org/keywords/electron-microscope","display_name":"Electron microscope","score":0.45764535665512085},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4551539123058319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43771740794181824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2922758460044861},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23059287667274475},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21671313047409058}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645050048828125},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6271851062774658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5865538120269775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5386277437210083},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5350227355957031},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5115881562232971},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49619418382644653},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48076316714286804},{"id":"https://openalex.org/C93877712","wikidata":"https://www.wikidata.org/wiki/Q132560","display_name":"Electron microscope","level":2,"score":0.45764535665512085},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4551539123058319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43771740794181824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2922758460044861},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23059287667274475},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21671313047409058},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3474028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3474028","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:39365717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39365717","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 medical imaging","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1734089548","display_name":null,"funder_award_id":"31971289, 91954201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3571183331","display_name":null,"funder_award_id":"31971289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3964244754","display_name":null,"funder_award_id":"91954201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5283330404","display_name":null,"funder_award_id":"XDB37040402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5764478040","display_name":null,"funder_award_id":"32101216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7359957411","display_name":null,"funder_award_id":"92354307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7363891303","display_name":null,"funder_award_id":"E3E45201X2","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1513082520","https://openalex.org/W1533318183","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2098623070","https://openalex.org/W2100213115","https://openalex.org/W2132984323","https://openalex.org/W2146842127","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2464708700","https://openalex.org/W2521803624","https://openalex.org/W2545491085","https://openalex.org/W2554820184","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2582996697","https://openalex.org/W2612218357","https://openalex.org/W2758694956","https://openalex.org/W2774320778","https://openalex.org/W2787091153","https://openalex.org/W2790482089","https://openalex.org/W2803790834","https://openalex.org/W2807552327","https://openalex.org/W2885262262","https://openalex.org/W2916798096","https://openalex.org/W2955058313","https://openalex.org/W2962858109","https://openalex.org/W2962914239","https://openalex.org/W2963091558","https://openalex.org/W2963111219","https://openalex.org/W2963446712","https://openalex.org/W2963840672","https://openalex.org/W2963946669","https://openalex.org/W2978005227","https://openalex.org/W2979586355","https://openalex.org/W2980998394","https://openalex.org/W2981689412","https://openalex.org/W2996290406","https://openalex.org/W2997286550","https://openalex.org/W3014974815","https://openalex.org/W3015788359","https://openalex.org/W3016666924","https://openalex.org/W3025800305","https://openalex.org/W3082008146","https://openalex.org/W3089720110","https://openalex.org/W3091194017","https://openalex.org/W3093924407","https://openalex.org/W3095207884","https://openalex.org/W3112551008","https://openalex.org/W3133796281","https://openalex.org/W3155676825","https://openalex.org/W3170552979","https://openalex.org/W3170841864","https://openalex.org/W4212875960","https://openalex.org/W4214806317","https://openalex.org/W4282981963","https://openalex.org/W4285199357","https://openalex.org/W4287774458","https://openalex.org/W4296502740","https://openalex.org/W4321232185","https://openalex.org/W4385605177","https://openalex.org/W4387129484","https://openalex.org/W4390873471","https://openalex.org/W4390874575","https://openalex.org/W6738486038","https://openalex.org/W6739696289","https://openalex.org/W6750469568","https://openalex.org/W6779632826","https://openalex.org/W6795435739","https://openalex.org/W6802010497"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2116037602","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,21,33,68,121],"of":[2,15,22,40,52,56,81,87,122,162,188],"electron":[3],"microscopy":[4],"(EM)":[5],"images":[6,24,83,92,133,166],"is":[7,193],"crucial":[8],"for":[9,65],"nanoscale":[10],"analysis.":[11],"With":[12],"the":[13,47,53,79,94,119,127,186],"development":[14],"deep":[16],"neural":[17],"networks":[18],"(DNNs),":[19],"semantic":[20,120],"EM":[23,31,57,82,123,175],"has":[25],"achieved":[26],"remarkable":[27],"success.":[28],"However,":[29],"current":[30],"image":[32],"models":[34,113],"are":[35,61],"usually":[36],"extensions":[37],"or":[38,42],"adaptations":[39],"natural":[41,88],"biomedical":[43,91],"models.":[44],"They":[45],"lack":[46,71],"full":[48],"exploration":[49],"and":[50,70,89,137,160,167,183],"utilization":[51],"intrinsic":[54],"characteristics":[55,80],"images.":[58,124,169],"Furthermore,":[59,147],"they":[60],"often":[62],"designed":[63],"only":[64],"several":[66],"specific":[67],"objects":[69],"versatility.":[72],"In":[73],"this":[74],"study,":[75],"we":[76,102,148],"quantitatively":[77],"analyze":[78],"compared":[84],"with":[85],"those":[86],"other":[90],"via":[93],"wavelet":[95,128],"transform.":[96],"To":[97],"better":[98,158],"utilize":[99],"these":[100],"characteristics,":[101],"design":[103],"a":[104,115,150],"high-frequency":[105],"(HF)":[106],"fusion":[107,161],"network,":[108],"GobletNet,":[109],"which":[110],"outperforms":[111],"state-of-the-art":[112],"by":[114],"large":[116],"margin":[117],"in":[118],"We":[125],"use":[126,138],"transform":[129],"to":[130,143,156],"generate":[131],"HF":[132,145,168],"as":[134],"extra":[135,140],"inputs":[136],"an":[139],"encoding":[141],"branch":[142],"extract":[144],"information.":[146],"introduce":[149],"fusion-attention":[151],"module":[152],"(FAM)":[153],"into":[154],"GobletNet":[155],"facilitate":[157],"absorption":[159],"information":[163],"from":[164],"raw":[165],"Extensive":[170],"benchmarking":[171],"on":[172],"seven":[173],"public":[174],"datasets":[176],"(EPFL,":[177],"CREMI,":[178],"SNEMI3D,":[179],"UroCell,":[180],"MitoEM,":[181],"Nanowire":[182],"BetaSeg)":[184],"demonstrates":[185],"effectiveness":[187],"our":[189],"model.":[190],"The":[191],"code":[192],"available":[194],"at":[195],"https://github.com/Yanfeng-Zhou/GobletNet.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}