{"id":"https://openalex.org/W2392067321","doi":"https://doi.org/10.1109/cgiv.2016.26","title":"MLP Neural Network Classifier for Medical Image Segmentation","display_name":"MLP Neural Network Classifier for Medical Image Segmentation","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2392067321","doi":"https://doi.org/10.1109/cgiv.2016.26","mag":"2392067321"},"language":"en","primary_location":{"id":"doi:10.1109/cgiv.2016.26","doi":"https://doi.org/10.1109/cgiv.2016.26","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgiv.2016.26","pdf_url":null,"source":{"id":"https://openalex.org/S7407086823","display_name":"International Conference on Computer Graphics, Imaging and Visualization (CGIV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2392067321"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5090189287","display_name":"Manel Jarrar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Manel Jarrar","raw_affiliation_strings":["Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065406061","display_name":"Asma Kerkeni","orcid":"https://orcid.org/0000-0002-3134-3802","observed_orcids":["https://orcid.org/0000-0002-3134-3802"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Asma Kerkeni","raw_affiliation_strings":["Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061299258","display_name":"Asma Ben Abdallah","orcid":"https://orcid.org/0000-0001-7821-7734","observed_orcids":["https://orcid.org/0000-0001-7821-7734"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Asma Ben Abdallah","raw_affiliation_strings":["Lab. Technol. et Imagerie Medicale, Universite de Monastir, Monastir, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. Technol. et Imagerie Medicale, Universite de Monastir, Monastir, TN","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067525029","display_name":"Mohamed H\u00e9di Bedoui","orcid":"https://orcid.org/0000-0003-4846-1722","observed_orcids":["https://orcid.org/0000-0003-4846-1722"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Hedi Bedoui","raw_affiliation_strings":["Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. Technol. et Imagerie Medicale, Universit\u00e9 de Monastir, Monastir, Tunisie","institution_ids":["https://openalex.org/I166928557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166928557"],"apc_list":null,"apc_paid":null,"fwci":0.2227,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56675535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"88","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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/medical-image-segmentation","display_name":"medical image segmentation","score":0.9909999966621399},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.8299999833106995},{"id":"https://openalex.org/keywords/image-characterization","display_name":"image characterization","score":0.6299999952316284},{"id":"https://openalex.org/keywords/image-descriptors","display_name":"image descriptors","score":0.8980000019073486},{"id":"https://openalex.org/keywords/segmentation-quality-assessment","display_name":"segmentation quality assessment","score":0.6539999842643738},{"id":"https://openalex.org/keywords/medical-image-databases","display_name":"medical image databases","score":0.6779999732971191}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8121592402458191},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7940124273300171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640703320503235},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7193197011947632},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6207300424575806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.609527587890625},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6087523698806763},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5820695757865906},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5234346389770508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5122260451316833}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cgiv.2016.26","doi":"https://doi.org/10.1109/cgiv.2016.26","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgiv.2016.26","pdf_url":null,"source":{"id":"https://openalex.org/S7407086823","display_name":"International Conference on Computer Graphics, Imaging and Visualization (CGIV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W148999028","https://openalex.org/W1530063250","https://openalex.org/W1672745209","https://openalex.org/W1688704361","https://openalex.org/W2051084846","https://openalex.org/W2082208555","https://openalex.org/W2154538795","https://openalex.org/W2219094525","https://openalex.org/W2266720141","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2786823882","https://openalex.org/W6922705372","https://openalex.org/W2117695123","https://openalex.org/W2805191397","https://openalex.org/W6885073599","https://openalex.org/W1971210099","https://openalex.org/W2886466218","https://openalex.org/W3193401027","https://openalex.org/W7097182193","https://openalex.org/W2163810952"],"abstract_inverted_index":{"The":[0,78,120],"choice":[1,32,112],"of":[2,13,33,42,49,52,61,69,94,107,117,122,137],"a":[3,67],"segmentation":[4,22,35,53,99,110],"method":[5,36,100,111],"depends":[6],"on":[7,72,114],"several":[8],"considerations,":[9],"namely":[10],"the":[11,14,16,21,31,34,40,43,50,87,97,105,108],"nature":[12,41],"image,":[15],"primitives":[17],"to":[18,86,90,128],"extract":[19],"and":[20,57,133],"methods.":[23],"We":[24,103],"propose":[25],"an":[26,47],"MLP-basis":[27],"neuronal":[28,88],"approach":[29,89],"for":[30],"taking":[37],"into":[38],"account":[39],"input":[44,85],"image.":[45],"First,":[46],"evaluation":[48,62],"quality":[51],"by":[54],"different":[55,115],"methods":[56],"using":[58],"various":[59],"criteria":[60],"was":[63,76],"carried":[64],"out.":[65],"Then,":[66],"characterization":[68],"images,":[70],"based":[71],"some":[73],"objective":[74],"parameters,":[75],"performed.":[77],"resulting":[79],"descriptors":[80],"will":[81],"be":[82],"used":[83],"as":[84],"associate":[91],"each":[92],"type":[93],"image":[95],"with":[96],"adequate":[98],"after":[101],"learning.":[102],"report":[104],"results":[106,125],"intelligent":[109],"obtained":[113],"databases":[116],"medical":[118],"images.":[119,138],"discussion":[121],"these":[123],"encouraging":[124],"allowed":[126],"us":[127],"improve":[129],"our":[130],"success":[131],"rate":[132],"cover":[134],"all":[135],"varieties":[136]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
