{"id":"https://openalex.org/W2920266815","doi":"https://doi.org/10.1109/tencon.2018.8650121","title":"Structuring Elements in the Watershed Algorithm for the Segmentation of Mammography Images","display_name":"Structuring Elements in the Watershed Algorithm for the Segmentation of Mammography Images","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2920266815","doi":"https://doi.org/10.1109/tencon.2018.8650121","mag":"2920266815"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5065333643","display_name":"Rohana Embong","orcid":"https://orcid.org/0000-0003-3522-7566"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Rohana Embong","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088243566","display_name":"Siti Rohani Anuar","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Rohani Anuar","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065333643"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63498151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2144","last_page":"2147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9817000031471252,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9768999814987183,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319638133049011},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6871717572212219},{"id":"https://openalex.org/keywords/structuring-element","display_name":"Structuring element","score":0.6224335432052612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5929041504859924},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5581536293029785},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5521364808082581},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.5195520520210266},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5102078914642334},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.49139538407325745},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.45310917496681213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4518994987010956},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4394245445728302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41536080837249756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3836647570133209},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.3575958013534546},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26378217339515686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1540835201740265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319638133049011},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6871717572212219},{"id":"https://openalex.org/C74032544","wikidata":"https://www.wikidata.org/wiki/Q7625238","display_name":"Structuring element","level":5,"score":0.6224335432052612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929041504859924},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5581536293029785},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5521364808082581},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.5195520520210266},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5102078914642334},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.49139538407325745},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.45310917496681213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4518994987010956},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4394245445728302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41536080837249756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3836647570133209},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.3575958013534546},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26378217339515686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1540835201740265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322780","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92"},{"id":"https://openalex.org/F4320323300","display_name":"Universiti Teknologi Malaysia","ror":"https://ror.org/026w31v75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W166286719","https://openalex.org/W1962532337","https://openalex.org/W2034072173","https://openalex.org/W2040665675","https://openalex.org/W2082694303","https://openalex.org/W2099088762","https://openalex.org/W2113791390","https://openalex.org/W2135346934","https://openalex.org/W2186629198","https://openalex.org/W2191606157","https://openalex.org/W2236945800","https://openalex.org/W2275352376","https://openalex.org/W2275579443","https://openalex.org/W2323553543","https://openalex.org/W2557823979","https://openalex.org/W2577794774","https://openalex.org/W2759993652","https://openalex.org/W3023408402","https://openalex.org/W3100816363","https://openalex.org/W4285719527","https://openalex.org/W6606793629","https://openalex.org/W6641077578","https://openalex.org/W6677061490","https://openalex.org/W6686848279","https://openalex.org/W6689988182","https://openalex.org/W6694611718"],"related_works":["https://openalex.org/W2357143406","https://openalex.org/W2429125578","https://openalex.org/W1987072451","https://openalex.org/W2160935107","https://openalex.org/W2349062005","https://openalex.org/W2369397543","https://openalex.org/W2892082603","https://openalex.org/W4206399529","https://openalex.org/W4368283028","https://openalex.org/W3102894800"],"abstract_inverted_index":{"Reading":[0],"mammography":[1,242],"images":[2],"has":[3,76,151],"always":[4],"been":[5],"a":[6,35,141,185,235],"challenging":[7],"task":[8],"even":[9],"for":[10,191,238],"experienced":[11],"radiologists.":[12],"With":[13],"the":[14,23,46,50,54,64,89,93,101,104,107,117,122,136,148,152,157,168,192,197,200,210,226,230,239],"advancements":[15],"in":[16,41,49,147],"computer":[17],"technology,":[18],"machine":[19,52],"tools":[20],"such":[21,79],"as":[22,34,80],"Computer":[24],"Aided":[25],"Detection":[26],"and":[27,70,82,171,175,218],"Diagnosis":[28],"(CAD)":[29],"systems":[30],"are":[31,167,173,206,209],"widely":[32],"engaged":[33],"second":[36],"reader":[37],"to":[38,84,100,115,134,183],"assist":[39],"radiologists":[40],"image":[42,118],"reading.":[43],"One":[44],"of":[45,63,124,144,155,163,179,188,199,220,225,241],"important":[47],"processes":[48],"CAD":[51],"is":[53,61,113,121,132,182,234],"segmentation":[55,102,201,240],"process.":[56],"The":[57,177,223],"morphological":[58],"watershed":[59,105,130,149,194],"algorithm":[60,75,112,131,150],"one":[62],"hybrid":[65],"technique":[66],"that":[67,229],"combines":[68],"boundary":[69],"region":[71,123],"criteria,":[72],"but":[73],"this":[74,87,180],"several":[77],"drawbacks":[78],"over-segmentation":[81,137,158],"sensitive":[83],"noise.":[85],"In":[86],"research,":[88],"denoising":[90],"method":[91],"applies":[92],"Principal":[94],"Component":[95],"Analysis":[96],"(PCA)":[97],"filtering.":[98],"Prior":[99],"by":[103],"algorithm,":[106],"Fuzzy":[108],"C-Means":[109],"(FCM)":[110],"clustering":[111],"used":[114],"identify":[116],"foreground,":[119],"which":[120,166,208],"interest":[125],"(abnormality":[126],"region).":[127],"A":[128],"marker-controlled":[129,193],"implemented":[133],"overcome":[135],"drawback.":[138],"Furthermore,":[139],"applying":[140],"suitable":[142,186,236],"shape":[143,187,237],"structuring":[145,164,189,232],"element":[146,190,233],"same":[153],"effect":[154],"reducing":[156],"problem.":[159],"Thus,":[160],"three":[161,203],"shapes":[162],"elements,":[165],"disk,":[169],"diamond,":[170],"octagon":[172],"tested":[174],"compared.":[176],"aim":[178],"research":[181],"find":[184],"algorithm.":[195],"For":[196],"evaluation":[198,204],"performance,":[202],"methods":[205],"used,":[207],"Jaccard":[211],"Index":[212],"(JI),":[213],"Dice":[214],"Similarity":[215],"Coefficient":[216],"(DSC)":[217],"Figure":[219],"Merit":[221],"(FOM).":[222],"result":[224],"comparison":[227],"shows":[228],"diamond-shaped":[231],"images.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
