{"id":"https://openalex.org/W2479221571","doi":"https://doi.org/10.1109/atsip.2016.7523107","title":"Cardiac scintigraphic images segmentation techniques","display_name":"Cardiac scintigraphic images segmentation techniques","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2479221571","doi":"https://doi.org/10.1109/atsip.2016.7523107","mag":"2479221571"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2016.7523107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5108681569","display_name":"Yosra Ben Fadhel","orcid":"https://orcid.org/0000-0003-3346-4250"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Y. Ben Fadhel","raw_affiliation_strings":["Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112367542","display_name":"S. Ktata","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"S. Ktata","raw_affiliation_strings":["Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109330965","display_name":"Tarek Kraiem","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"T. Kraiem","raw_affiliation_strings":["Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory of Biophysics and Medical Technology (BMT), High Institute of Medical Technologies of the University of Tunis El-Manar, Tunis, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108681569"],"corresponding_institution_ids":["https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65427023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":null,"first_page":"364","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9954000115394592,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9919999837875366,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8244596719741821},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6877025365829468},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6664191484451294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6658617854118347},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6579555869102478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642776370048523},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6170651912689209},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5971344709396362},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.5725729465484619},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5473572611808777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5144088864326477},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47722819447517395},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4535752534866333},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41668862104415894},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4150829315185547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3243520259857178},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29470160603523254}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8244596719741821},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6877025365829468},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6664191484451294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6658617854118347},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6579555869102478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642776370048523},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6170651912689209},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5971344709396362},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.5725729465484619},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5473572611808777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5144088864326477},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47722819447517395},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4535752534866333},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41668862104415894},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4150829315185547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3243520259857178},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29470160603523254}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2016.7523107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W63753195","https://openalex.org/W1128292551","https://openalex.org/W1499237789","https://openalex.org/W1568798456","https://openalex.org/W1890531352","https://openalex.org/W1971427673","https://openalex.org/W1972544340","https://openalex.org/W2032189427","https://openalex.org/W2074717497","https://openalex.org/W2096716186","https://openalex.org/W2113965191","https://openalex.org/W2116040950","https://openalex.org/W2142748416","https://openalex.org/W2295376722","https://openalex.org/W2622520782","https://openalex.org/W6629873551","https://openalex.org/W6739736598"],"related_works":["https://openalex.org/W2403941968","https://openalex.org/W2084170566","https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W2364730859","https://openalex.org/W4281943322","https://openalex.org/W3144569342","https://openalex.org/W2359699469","https://openalex.org/W1964029210","https://openalex.org/W2359112745"],"abstract_inverted_index":{"Segmentation":[0],"is":[1,40,113,146],"an":[2],"important":[3,43],"task":[4],"in":[5,29,45,137],"all":[6],"kinds":[7],"of":[8,25,35,95,127,132,142,165],"image":[9,13,48,112,118],"analysis.":[10],"Especially":[11],"medical":[12],"analysis":[14],"segmentation":[15,62,67,152],"has":[16],"a":[17,96,116,120,143,156],"great":[18],"clinical":[19],"value":[20],"that":[21,136],"improves":[22],"the":[23,33,41,76,81,87,93,125,140,150,161],"localization":[24],"organs":[26],"or":[27],"pathologies":[28],"order":[30,54],"to":[31,55],"raise":[32],"quality":[34],"diagnosis.":[36],"The":[37,71,90],"left":[38],"ventricle":[39],"most":[42],"part":[44],"radionuclide":[46],"ventriculography":[47],"(VEF:":[49],"Ventricular":[50],"Ejection":[51],"Fraction).":[52],"In":[53],"identify":[56],"it,":[57],"we":[58,154],"did":[59],"used":[60],"two":[61,99,166],"approaches":[63],"which":[64,123],"are:":[65],"region-based":[66],"and":[68,75,86,109],"edge-based":[69],"segmentation.":[70],"first":[72],"detects":[73],"homogeneities":[74],"common":[77],"features":[78],"by":[79,102,160],"using":[80,103],"active":[82],"contour":[83],"model":[84,163],"(chan_vese)":[85],"thresholding":[88],"techniques.":[89],"second,":[91],"seeks":[92],"existence":[94],"transition":[97],"between":[98],"related":[100],"regions":[101],"some":[104],"methods":[105],"like":[106],"(Sobel,":[107],"Canny":[108],"Perwitt).":[110],"VEF":[111],"known":[114],"as":[115],"noisy":[117],"with":[119],"low":[121],"contrast":[122],"make":[124],"perception":[126],"interest":[128],"parts":[129],"(ROI:":[130],"Regions":[131],"Interest)":[133],"difficult,":[134],"for":[135],"this":[138],"paper":[139],"use":[141],"preprocessing":[144],"algorithm":[145],"suggested.":[147],"To":[148],"improve":[149],"cha-vese":[151],"result,":[153],"applied":[155],"simple":[157],"threshold":[158],"followed":[159],"chan-vese":[162],"(combination":[164],"techniques).":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}