{"id":"https://openalex.org/W3102128208","doi":"https://doi.org/10.1109/tim.2020.3038603","title":"Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain","display_name":"Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3102128208","doi":"https://doi.org/10.1109/tim.2020.3038603","mag":"3102128208"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3038603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3038603","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5047012112","display_name":"Sneha Singh","orcid":"https://orcid.org/0000-0002-1728-982X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sneha Singh","raw_affiliation_strings":["Shri Ramdeobaba College of Engineering and Management, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0002-1728-982X","affiliations":[{"raw_affiliation_string":"Shri Ramdeobaba College of Engineering and Management, Nagpur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039210540","display_name":"Deep Gupta","orcid":"https://orcid.org/0000-0002-7408-656X"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deep Gupta","raw_affiliation_strings":["Visvesvaraya National Institute of Technology, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0002-7408-656X","affiliations":[{"raw_affiliation_string":"Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0799,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90046934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9923999905586243,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9916999936103821,"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/codebook","display_name":"Codebook","score":0.7726975679397583},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.739609956741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6973261833190918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322506666183472},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.631209671497345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5961695909500122},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5807284712791443},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5098861455917358},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48741987347602844},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41747045516967773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36912405490875244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.330281138420105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09306958317756653}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7726975679397583},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.739609956741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6973261833190918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322506666183472},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.631209671497345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5961695909500122},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5807284712791443},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5098861455917358},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48741987347602844},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41747045516967773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36912405490875244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.330281138420105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09306958317756653},{"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},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3038603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3038603","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W49146665","https://openalex.org/W1669864993","https://openalex.org/W1997951181","https://openalex.org/W1999316653","https://openalex.org/W2000532519","https://openalex.org/W2010272715","https://openalex.org/W2046315855","https://openalex.org/W2059432853","https://openalex.org/W2066667210","https://openalex.org/W2082506960","https://openalex.org/W2115214993","https://openalex.org/W2116216752","https://openalex.org/W2116702374","https://openalex.org/W2137475834","https://openalex.org/W2170539513","https://openalex.org/W2339983363","https://openalex.org/W2340035164","https://openalex.org/W2474462684","https://openalex.org/W2491718445","https://openalex.org/W2499308752","https://openalex.org/W2520768522","https://openalex.org/W2589073776","https://openalex.org/W2744198280","https://openalex.org/W2761025323","https://openalex.org/W2772698944","https://openalex.org/W2783015445","https://openalex.org/W2791983077","https://openalex.org/W2808591023","https://openalex.org/W2901693161","https://openalex.org/W2933486688","https://openalex.org/W2966253851","https://openalex.org/W3125032682"],"related_works":["https://openalex.org/W2391745328","https://openalex.org/W1971268144","https://openalex.org/W4214649316","https://openalex.org/W2554790198","https://openalex.org/W2788731446","https://openalex.org/W4390606538","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866"],"abstract_inverted_index":{"Medical":[0],"image":[1,34],"fusion":[2,35,105,131,137],"improves":[3],"clinical":[4],"interpretation":[5],"and":[6,24,47,61,96,133,143],"analysis":[7],"by":[8,59],"combining":[9],"the":[10,93,98,108,126,135],"complementary":[11],"information":[12],"of":[13,101,107,118],"multimodal":[14],"images":[15],"into":[16],"one":[17],"that":[18,125],"leads":[19],"to":[20,69,80,91],"more":[21],"accurate":[22],"diagnosis":[23],"treatment":[25],"planning.":[26],"This":[27],"article":[28],"presents":[29],"a":[30,39,85,114],"novel":[31],"feature-level":[32],"medical":[33],"(FMIF)":[36],"method":[37,110,128],"using":[38,84],"structural":[40,46,71],"gradient-based":[41],"decomposition,":[42],"which":[43,89],"provides":[44,129],"uncorrelated":[45],"textural":[48],"components.":[49,72],"A":[50],"feature":[51],"codebook":[52],"obtained":[53],"from":[54],"multiple":[55],"low-scale":[56],"features":[57],"followed":[58],"clustering":[60],"choose-max":[62],"with":[63,139],"consistency":[64],"verification":[65],"rule":[66],"is":[67,78,111],"applied":[68],"fuse":[70,81],"An":[73],"optimized":[74],"pulse-coupled":[75],"neural":[76],"network":[77],"utilized":[79],"texture":[82],"component":[83],"differential":[86],"evolution":[87],"algorithm,":[88],"helps":[90],"improve":[92],"model":[94],"efficiency":[95],"retain":[97],"natural":[99],"response":[100],"pixel":[102],"activity.":[103],"The":[104,121],"performance":[106],"proposed":[109,127],"explored":[112],"on":[113],"large":[115],"data":[116],"set":[117],"neurological":[119],"images.":[120],"experimental":[122],"result":[123],"demonstrates":[124],"better":[130],"results":[132],"outperforms":[134],"state-of-the-art":[136],"approaches":[138],"enhanced":[140],"visual":[141],"quality":[142],"computational":[144],"parameters.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
