{"id":"https://openalex.org/W2972435376","doi":"https://doi.org/10.1109/jbhi.2019.2905623","title":"Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN","display_name":"Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN","publication_year":2019,"publication_date":"2019-03-18","ids":{"openalex":"https://openalex.org/W2972435376","doi":"https://doi.org/10.1109/jbhi.2019.2905623","mag":"2972435376","pmid":"https://pubmed.ncbi.nlm.nih.gov/30892256"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2019.2905623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2905623","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Huang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015525872","display_name":"Baochang Zhang","orcid":"https://orcid.org/0000-0001-7396-6218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baochang Zhang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803447","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-5243-7189"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Tao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060602596","display_name":"Nigel H. Lovell","orcid":"https://orcid.org/0000-0003-1637-1079"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nigel H. Lovell","raw_affiliation_strings":["Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079178505"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":4.0876,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.95245321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"160","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9995999932289124,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9995999932289124,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.8158615827560425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7935827970504761},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7835813760757446},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7616904973983765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7383753061294556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710976243019104},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.65234375},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5169969797134399},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46390172839164734},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4558713138103485},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4487692713737488},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.428302526473999},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41836920380592346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33580589294433594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16751542687416077},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.15268942713737488}],"concepts":[{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.8158615827560425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7935827970504761},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7835813760757446},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7616904973983765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7383753061294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710976243019104},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.65234375},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5169969797134399},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46390172839164734},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4558713138103485},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4487692713737488},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.428302526473999},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41836920380592346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33580589294433594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16751542687416077},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.15268942713737488},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"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":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D001773","descriptor_name":"Blood Cells","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D003584","descriptor_name":"Cytological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003584","descriptor_name":"Cytological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003584","descriptor_name":"Cytological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D058067","descriptor_name":"Wavelet Analysis","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":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2019.2905623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2905623","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:30892256","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30892256","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1146082295","display_name":null,"funder_award_id":"4172043","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4015423121","display_name":null,"funder_award_id":"Z171100001117050","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1481523241","https://openalex.org/W1521436688","https://openalex.org/W1522301498","https://openalex.org/W1532253769","https://openalex.org/W1538725615","https://openalex.org/W1686810756","https://openalex.org/W1950365613","https://openalex.org/W1966580635","https://openalex.org/W1967649788","https://openalex.org/W1972399486","https://openalex.org/W1982644157","https://openalex.org/W1983364832","https://openalex.org/W1988386267","https://openalex.org/W2017014096","https://openalex.org/W2030104143","https://openalex.org/W2055069115","https://openalex.org/W2059272842","https://openalex.org/W2060200379","https://openalex.org/W2060706129","https://openalex.org/W2061880140","https://openalex.org/W2072916379","https://openalex.org/W2078985289","https://openalex.org/W2104877815","https://openalex.org/W2107175121","https://openalex.org/W2107224178","https://openalex.org/W2118061807","https://openalex.org/W2136922672","https://openalex.org/W2144223474","https://openalex.org/W2151665594","https://openalex.org/W2152057649","https://openalex.org/W2163605009","https://openalex.org/W2165731615","https://openalex.org/W2168444508","https://openalex.org/W2278837653","https://openalex.org/W2375916492","https://openalex.org/W2404926044","https://openalex.org/W2412322763","https://openalex.org/W2559785631","https://openalex.org/W2598853550","https://openalex.org/W2608819578","https://openalex.org/W2615003530","https://openalex.org/W2618530766","https://openalex.org/W2682360066","https://openalex.org/W2738327665","https://openalex.org/W2755968140","https://openalex.org/W2767651786","https://openalex.org/W2768309288","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6676023212","https://openalex.org/W6713450916","https://openalex.org/W6741321140"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":{"Cell":[0],"classification,":[1],"especially":[2,153],"that":[3,134],"of":[4,16,20,112],"white":[5],"blood":[6,50],"cells,":[7],"plays":[8],"a":[9,48,56],"very":[10],"important":[11],"role":[12],"in":[13],"the":[14,99,103,115,135],"field":[15],"diagnosis":[17],"and":[18,35,60,82,124,129,146],"control":[19],"major":[21],"diseases.":[22],"Compared":[23],"to":[24,97,106],"traditional":[25,144],"optical":[26],"microscopic":[27],"imaging,":[28],"hyperspectral":[29,75],"imagery,":[30],"combined":[31],"with":[32,90],"both":[33],"spatial":[34],"spectral":[36],"information,":[37],"provides":[38],"more":[39,127],"wealthy":[40],"information":[41],"for":[42],"recognizing":[43],"cells.":[44],"In":[45],"this":[46],"paper,":[47],"novel":[49],"cell":[51],"classification":[52,141],"framework,":[53],"which":[54],"combines":[55],"modulated":[57,119],"Gabor":[58,84,113],"wavelet":[59],"deep":[61],"convolutional":[62,79,100],"neural":[63],"network":[64],"(CNN)":[65],"kernels,":[66],"named":[67],"as":[68,154],"MGCNN,":[69],"is":[70,96],"proposed":[71,136],"based":[72],"on":[73],"medical":[74],"imaging.":[76],"For":[77],"each":[78],"layer,":[80],"multi-scale":[81],"orientation":[83],"operators":[85],"are":[86,126],"taken":[87],"dot":[88],"product":[89],"initial":[91],"CNN":[92],"kernels.":[93],"The":[94],"essence":[95],"transform":[98],"kernels":[101,120],"into":[102],"frequency":[104],"domain":[105],"learn":[107],"features.":[108],"By":[109],"combining":[110],"characteristics":[111],"wavelets,":[114],"features":[116],"learned":[117],"by":[118],"at":[121],"different":[122],"frequencies":[123],"orientations":[125],"representative":[128],"discriminative.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"model":[137],"can":[138],"achieve":[139],"better":[140],"performance":[142],"than":[143],"CNNs":[145],"widely":[147],"used":[148],"support":[149],"vector":[150],"machine":[151],"approaches,":[152],"training":[155],"small-sample-size":[156],"situations.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
