{"id":"https://openalex.org/W3196737561","doi":"https://doi.org/10.1515/comp-2020-0140","title":"Novel image enhancement approaches for despeckling in ultrasound images for fibroid detection in human uterus","display_name":"Novel image enhancement approaches for despeckling in ultrasound images for fibroid detection in human uterus","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3196737561","doi":"https://doi.org/10.1515/comp-2020-0140","mag":"3196737561"},"language":"en","primary_location":{"id":"doi:10.1515/comp-2020-0140","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0140","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0140/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0140/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062655691","display_name":"K. T. Dilna","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kaitheri Thacharedath Dilna","raw_affiliation_strings":["Department of ECE, College of Engineering and Technology , Payyanur , India","Department of ECE, Karunya Institute of Technology and Sciences , Coimbatore , India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, College of Engineering and Technology , Payyanur , India","institution_ids":[]},{"raw_affiliation_string":"Department of ECE, Karunya Institute of Technology and Sciences , Coimbatore , India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"last","author":{"id":null,"display_name":"Duraisamy Jude Hemanth","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Duraisamy Jude Hemanth","raw_affiliation_strings":["Department of ECE, Karunya Institute of Technology and Sciences , Coimbatore , India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Karunya Institute of Technology and Sciences , Coimbatore , India","institution_ids":["https://openalex.org/I119668213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119668213"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.4856,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65324912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"399","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9977999925613403,"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/speckle-noise","display_name":"Speckle noise","score":0.8135557174682617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7528643608093262},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.7139226794242859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626738905906677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6491339206695557},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49151191115379333},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4812586009502411},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.478220671415329},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4613589942455292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44213753938674927},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4317222237586975},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.425339013338089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38467803597450256},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2652423083782196},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1814788579940796},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1520596444606781}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.8135557174682617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7528643608093262},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.7139226794242859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626738905906677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6491339206695557},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49151191115379333},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4812586009502411},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.478220671415329},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4613589942455292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44213753938674927},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4317222237586975},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.425339013338089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38467803597450256},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2652423083782196},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1814788579940796},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1520596444606781},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/comp-2020-0140","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0140","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0140/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e42db1641984409fbe0613f7b11bac10","is_oa":true,"landing_page_url":"https://doaj.org/article/e42db1641984409fbe0613f7b11bac10","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Computer Science, Vol 11, Iss 1, Pp 399-410 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/comp-2020-0140","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2020-0140","pdf_url":"https://www.degruyter.com/document/doi/10.1515/comp-2020-0140/pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196737561.pdf","grobid_xml":"https://content.openalex.org/works/W3196737561.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1500359668","https://openalex.org/W1919263765","https://openalex.org/W1968259903","https://openalex.org/W1976708251","https://openalex.org/W2004928853","https://openalex.org/W2007096642","https://openalex.org/W2021239605","https://openalex.org/W2036524212","https://openalex.org/W2067681708","https://openalex.org/W2068075086","https://openalex.org/W2072843185","https://openalex.org/W2088775046","https://openalex.org/W2104763670","https://openalex.org/W2120903082","https://openalex.org/W2130094715","https://openalex.org/W2133363710","https://openalex.org/W2136473316","https://openalex.org/W2146842127","https://openalex.org/W2150134853","https://openalex.org/W2158347164","https://openalex.org/W2162457349","https://openalex.org/W2172010646","https://openalex.org/W4250827659"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W2727313114","https://openalex.org/W1989852278"],"abstract_inverted_index":{"Abstract":[0],"Ultrasonography":[1],"is":[2,42,80,122,160,202],"an":[3],"extensively":[4],"used":[5,81],"medical":[6,75],"imaging":[7],"technique":[8],"for":[9,175,182],"multiple":[10],"reasons.":[11],"It":[12,54],"works":[13],"on":[14,153],"the":[15,21,26,45,56,83,158],"basic":[16],"theory":[17],"of":[18,28,37,47,52,58,67,110,140,142,145,164,188],"echoes":[19],"from":[20,113],"tissues":[22],"under":[23],"consideration.":[24],"However,":[25],"occurrence":[27],"signal":[29],"dependent":[30],"noise":[31,41,112,144],"such":[32,191],"as":[33,82,192],"speckle":[34,92,103,111,143,176],"destroys":[35],"utility":[36],"ultrasound":[38,71,114,128,146,154,183,205],"images.":[39,72,185],"Speckle":[40],"subject":[43],"to":[44],"composition":[46],"image":[48,60,76,115,129],"tissue":[49],"and":[50,63,88,119,138,157,199],"parameters":[51],"image.":[53,148],"reduces":[55],"effectiveness":[57],"many":[59,74,100],"processing":[61,77],"steps":[62],"decreases":[64],"human":[65],"perception":[66],"fine":[68],"details":[69],"form":[70],"In":[73],"methods,":[78],"despeckling":[79,171],"preprocessing":[84],"step":[85],"before":[86],"segmentation":[87],"feature":[89],"extraction.":[90],"Many":[91,149],"reduction":[93,141],"filters":[94,150,172],"are":[95,151,173,179],"proposed":[96],"but":[97],"while":[98],"combining":[99],"techniques":[101],"some":[102,165],"diagnostic":[104],"information":[105],"should":[106],"be":[107],"preserved.":[108],"Removal":[109],"by":[116],"preserving":[117],"edges":[118],"added":[120],"features":[121],"a":[123,135],"great":[124],"challenging":[125],"task":[126],"in":[127,162,204,207],"restoration.":[130],"This":[131],"paper":[132],"aims":[133],"at":[134],"comprehensive":[136],"description":[137],"comparison":[139,187],"fibroid":[147],"applied":[152],"scanned":[155,184],"images":[156,206],"performance":[159],"marked":[161],"terms":[163],"statistical":[166],"measures.":[167],"Even":[168],"though":[169],"several":[170],"there":[174],"reduction,":[177],"all":[178],"not":[180],"good":[181],"A":[186],"quality":[189],"measures":[190],"mean":[193],"square":[194],"error,":[195],"peak":[196],"signal-to-noise":[197,200],"ratio,":[198],"ratio":[201],"done":[203],"despeckling.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
