{"id":"https://openalex.org/W7216005458","doi":"https://doi.org/10.64252/10fq9980","title":"Image Denoising For Medical Image Analysis","display_name":"Image Denoising For Medical Image Analysis","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W7216005458","doi":"https://doi.org/10.64252/10fq9980"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.advancedengineeringscience.com:article/2816","doi":"https://doi.org/10.64252/10fq9980","is_oa":true,"landing_page_url":"https://theaspd.com/index.php/ijes/article/view/2816","pdf_url":"https://theaspd.com/index.php/ijes/article/download/2816/2165","source":{"id":"https://openalex.org/S5406984696","display_name":"International Journal of Environmental Sciences","issn_l":"2229-7359","issn":["2229-7359"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2229-7359","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://theaspd.com/index.php/ijes/article/download/2816/2165","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119616007","display_name":"Tripti Dewangan","orcid":"https://orcid.org/0009-0009-0193-5661","observed_orcids":["https://orcid.org/0009-0009-0193-5661"]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dewangan, Tripti","raw_affiliation_strings":["Assistant Professor, Department of Pharmacy , Kalinga University , Raipur , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Department of Pharmacy , Kalinga University , Raipur , India","institution_ids":["https://openalex.org/I2800614057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5154548028","display_name":"Dr. Padma Nilesh Mishra","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mishra, Dr. Nidhi","raw_affiliation_strings":["Assistant Professor, Department of CS & IT , Kalinga University , Raipur , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Department of CS & IT , Kalinga University , Raipur , India","institution_ids":["https://openalex.org/I2800614057"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5155660555","display_name":"Dr. S.S. Khullar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khullar, Dr. S.S.","raw_affiliation_strings":["Associate Professor, New Delhi Institute of Management , New Delhi , India . ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, New Delhi Institute of Management , New Delhi , India . ,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.00019999999494757503,"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/T10052","display_name":"Medical Image Segmentation Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9800000190734863},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.9290000200271606},{"id":"https://openalex.org/keywords/machine-learning-denoising","display_name":"machine learning denoising","score":0.7129999995231628},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.652999997138977},{"id":"https://openalex.org/keywords/brain-tumor-diagnosis","display_name":"brain tumor diagnosis","score":0.5540000200271606},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"breast cancer","score":0.6110000014305115},{"id":"https://openalex.org/keywords/ultrasound","display_name":"ultrasound","score":0.38600000739097595},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.6930000185966492},{"id":"https://openalex.org/keywords/skin-lesion-detection","display_name":"skin lesion detection","score":0.7940000295639038},{"id":"https://openalex.org/keywords/chest-x-ray","display_name":"chest radiography","score":0.8420000076293945},{"id":"https://openalex.org/keywords/curvelet-transform","display_name":"curvelet transform","score":0.7440000176429749},{"id":"https://openalex.org/keywords/wavelet-denoising","display_name":"wavelet denoising","score":0.953000009059906},{"id":"https://openalex.org/keywords/clinical-implementation-barriers","display_name":"clinical implementation barriers","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7526000142097473},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6801000237464905},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556000113487244},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.5892999768257141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5809999704360962},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5698999762535095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47519999742507935},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.40860000252723694},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39629998803138733},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.33489999175071716},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31690001487731934},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.2827000021934509},{"id":"https://openalex.org/C2992165143","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Medical ultrasound","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.271699994802475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.advancedengineeringscience.com:article/2816","doi":"https://doi.org/10.64252/10fq9980","is_oa":true,"landing_page_url":"https://theaspd.com/index.php/ijes/article/view/2816","pdf_url":"https://theaspd.com/index.php/ijes/article/download/2816/2165","source":{"id":"https://openalex.org/S5406984696","display_name":"International Journal of Environmental Sciences","issn_l":"2229-7359","issn":["2229-7359"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2229-7359","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.advancedengineeringscience.com:article/2816","doi":"https://doi.org/10.64252/10fq9980","is_oa":true,"landing_page_url":"https://theaspd.com/index.php/ijes/article/view/2816","pdf_url":"https://theaspd.com/index.php/ijes/article/download/2816/2165","source":{"id":"https://openalex.org/S5406984696","display_name":"International Journal of Environmental Sciences","issn_l":"2229-7359","issn":["2229-7359"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2229-7359","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.46810001134872437,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7216005458.pdf","grobid_xml":"https://content.openalex.org/works/W7216005458.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W4405476075","https://openalex.org/W4409121181"],"related_works":["https://openalex.org/W2618025634","https://openalex.org/W3092369681","https://openalex.org/W7084503397","https://openalex.org/W1963845456","https://openalex.org/W4408815155","https://openalex.org/W4383104596","https://openalex.org/W3200649704","https://openalex.org/W3014217075","https://openalex.org/W4416677670","https://openalex.org/W2919159054"],"abstract_inverted_index":{"The":[0,65,131],"aim":[1],"of":[2,23,28,43,81,157],"this":[3,82],"work":[4],"is":[5],"to":[6,123],"identify":[7],"the":[8,29,56,63,78,85,135,153],"optimal":[9],"Machine":[10],"Learning":[11],"(ML)":[12],"techniques":[13,88,122,146],"for":[14,33,52],"image":[15,144],"denoising":[16,87,108,145],"in":[17,62,73,147],"radiological":[18],"medical":[19,75,94],"applications.":[20],"MRI":[21,31],"diagnosis":[22],"brain":[24],"tumors,":[25],"X-ray":[26],"analysis":[27],"chest,":[30],"imaging":[32],"breast":[34,46],"cancer,":[35],"US":[36],"Computer":[37],"Aided":[38],"Diagnosis":[39],"(CAD)":[40],"and":[41,45,48,99,113,127,143,155],"detection":[42],"skin":[44,128],"abnormalities,":[47],"Medical":[49],"Ultrasound":[50],"(US)":[51],"prenatal":[53],"development":[54],"are":[55,77,90,117],"six":[57],"specific":[58],"radiology":[59],"areas":[60],"examined":[61],"examination.":[64],"machine":[66,103,120,141,159],"learning":[67,104,121,142,160],"methods":[68],"that":[69],"demonstrate":[70],"remarkable":[71],"accuracy":[72],"radiologists'":[74],"diagnoses":[76],"main":[79],"topic":[80],"report.":[83],"Among":[84],"picture":[86,107],"discussed":[89],"curvelet":[91],"algorithms,":[92],"wavelet-based":[93],"denoising,":[95],"basic":[96],"filtering":[97],"techniques,":[98],"optimization":[100],"strategies.":[101],"Often,":[102],"outperforms":[105],"traditional":[106],"techniques.":[109],"To":[110],"get":[111],"fast":[112],"efficient":[114],"results,":[115],"radiologists":[116],"increasingly":[118],"applying":[119,140],"MRI,":[124],"US,":[125],"X-ray,":[126],"lesion":[129],"images.":[130],"paper":[132],"also":[133],"discusses":[134],"challenges":[136],"researchers":[137],"have":[138],"when":[139],"clinical":[148],"contexts,":[149],"as":[150,152],"well":[151],"features":[154],"contributions":[156],"various":[158],"methodologies.":[161]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-03T00:00:00"}