{"id":"https://openalex.org/W2592982743","doi":"https://doi.org/10.1117/12.2255552","title":"Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping","display_name":"Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping","publication_year":2017,"publication_date":"2017-03-03","ids":{"openalex":"https://openalex.org/W2592982743","doi":"https://doi.org/10.1117/12.2255552","mag":"2592982743"},"language":"en","primary_location":{"id":"doi:10.1117/12.2255552","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2255552","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108112912","display_name":"Sebasti\u00e1n Roberto Tarando","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4405261500","display_name":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","ror":"https://ror.org/05d29yv45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sebastian Roberto Tarando","raw_affiliation_strings":["T\u00e9l\u00e9com SudParis (France)","TSP - ARTEMIS - D\u00e9partement Advanced Research And Techniques For Multidimensional Imaging Systems (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier. 91011 \u00c9vry Cedex - France)","CNRS - Centre National de la Recherche Scientifique (France)","SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com SudParis (France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"TSP - ARTEMIS - D\u00e9partement Advanced Research And Techniques For Multidimensional Imaging Systems (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier. 91011 \u00c9vry Cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4405261500","https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055100665","display_name":"Catalin Fetita","orcid":"https://orcid.org/0000-0002-6134-2990"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]},{"id":"https://openalex.org/I4405261500","display_name":"Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux","ror":"https://ror.org/05d29yv45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catalin Fetita","raw_affiliation_strings":["T\u00e9l\u00e9com SudParis (France)","ARMEDIA-SAMOVAR - ARMEDIA (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","CNRS - Centre National de la Recherche Scientifique (France)","TSP - ARTEMIS - D\u00e9partement Advanced Research And Techniques For Multidimensional Imaging Systems (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier. 91011 \u00c9vry Cedex - France)","MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com SudParis (France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"ARMEDIA-SAMOVAR - ARMEDIA (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"SAMOVAR - Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux (T\u00e9l\u00e9com Sudparis, 9 rue Charles Fourier -91011 Evry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4405261500","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"TSP - ARTEMIS - D\u00e9partement Advanced Research And Techniques For Multidimensional Imaging Systems (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier. 91011 \u00c9vry Cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210102957","https://openalex.org/I4387154995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023584301","display_name":"Pierre\u2010Yves Brillet","orcid":"https://orcid.org/0000-0002-2411-5545"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210129146","display_name":"H\u00f4pital Avicenne","ror":"https://ror.org/03n6vs369","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210129146"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Yves Brillet","raw_affiliation_strings":["Univ. Paris 13 (France)","Service de radiologie [Avicenne] (125, rue de Stalingrad 93000 Bobigny - France)","UP13 - Universit\u00e9 Paris 13 (France)"],"affiliations":[{"raw_affiliation_string":"Univ. Paris 13 (France)","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Service de radiologie [Avicenne] (125, rue de Stalingrad 93000 Bobigny - France)","institution_ids":["https://openalex.org/I4210129146"]},{"raw_affiliation_string":"UP13 - Universit\u00e9 Paris 13 (France)","institution_ids":["https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108112912"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210145102","https://openalex.org/I4387153010","https://openalex.org/I4405261500"],"apc_list":null,"apc_paid":null,"fwci":0.4298,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64306395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10134","issue":null,"first_page":"1013407","last_page":"1013407"},"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":0.9969000220298767,"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":0.9969000220298767,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7350700497627258},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6967860460281372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897063851356506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636422872543335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5965699553489685},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5423977375030518},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.5289250612258911},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5172874927520752},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5010583400726318},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4235479235649109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37078481912612915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16933894157409668},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14286622405052185},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.07795435190200806}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7350700497627258},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6967860460281372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897063851356506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636422872543335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5965699553489685},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5423977375030518},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.5289250612258911},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5172874927520752},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5010583400726318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4235479235649109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37078481912612915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16933894157409668},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14286622405052185},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.07795435190200806},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2255552","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2255552","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01686291v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01686291","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SPIE Medical Imaging 2017: Computer-Aided Diagnosis, Feb 2017, Orlando, United States. pp.1013407-1 - 1013407-9, ⟨10.1117/12.2255552⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W753012316","https://openalex.org/W1533861849","https://openalex.org/W2044097773","https://openalex.org/W2067794541","https://openalex.org/W2084220915","https://openalex.org/W2112796928","https://openalex.org/W2122737351","https://openalex.org/W2138190368","https://openalex.org/W2163605009","https://openalex.org/W2303706856","https://openalex.org/W2323929895","https://openalex.org/W2332569151","https://openalex.org/W2415655786","https://openalex.org/W2963920537","https://openalex.org/W6622239757","https://openalex.org/W6631943919","https://openalex.org/W6640174519","https://openalex.org/W6667585554","https://openalex.org/W6671158236","https://openalex.org/W6680211808","https://openalex.org/W6684191040","https://openalex.org/W6698420066","https://openalex.org/W6702174040","https://openalex.org/W6716561791"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"The":[0,61],"infiltrative":[1],"lung":[2,10,33,93],"diseases":[3],"are":[4],"a":[5,40,50,65,70,78,87],"class":[6],"of":[7,21,28,43,52,63,73,91,98,112],"irreversible,":[8],"non-neoplastic":[9],"pathologies":[11],"requiring":[12],"regular":[13],"follow-up":[14],"with":[15,105],"CT":[16,45],"imaging.":[17],"Quantifying":[18],"the":[19,22,26,53,74,81,108,113],"evolution":[20],"patient":[23,89],"status":[24],"imposes":[25],"development":[27],"automated":[29],"classification":[30,37,75],"tools":[31],"for":[32,116],"texture.":[34],"Traditionally,":[35],"such":[36],"relies":[38],"on":[39,86],"two-dimensional":[41],"analysis":[42],"axial":[44],"images.":[46],"This":[47],"paper":[48],"proposes":[49],"cascade":[51],"existing":[54],"CNN":[55,115],"based":[56],"CAD":[57],"system,":[58],"specifically":[59],"tuned-up.":[60],"advantage":[62],"using":[64],"deep":[66],"learning":[67],"approach":[68,83],"is":[69],"better":[71],"regularization":[72],"output.":[76],"In":[77],"preliminary":[79],"evaluation,":[80],"combined":[82],"was":[84],"tested":[85],"13":[88],"database":[90],"various":[92],"pathologies,":[94],"showing":[95],"an":[96],"increase":[97],"10%":[99],"in":[100],"True":[101],"Positive":[102],"Rate":[103],"(TPR)":[104],"respect":[106],"to":[107],"best":[109],"suited":[110],"state":[111],"art":[114],"this":[117],"task.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}