{"id":"https://openalex.org/W4399206235","doi":"https://doi.org/10.1109/access.2024.3407774","title":"Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review","display_name":"Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399206235","doi":"https://doi.org/10.1109/access.2024.3407774"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3407774","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3407774","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3407774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063000283","display_name":"Muhammad Zubair","orcid":"https://orcid.org/0000-0002-8457-0208"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad Zubair","raw_affiliation_strings":["Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-8457-0208","affiliations":[{"raw_affiliation_string":"Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021878416","display_name":"Helmi B. Md Rais","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Helmi B. Md Rais","raw_affiliation_strings":["Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106489800","display_name":"Fasee Ullah","orcid":"https://orcid.org/0009-0003-8054-9342"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Fasee Ullah","raw_affiliation_strings":["Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia"],"raw_orcid":"https://orcid.org/0009-0003-8054-9342","affiliations":[{"raw_affiliation_string":"Institute of Emerging Digital Technologies (EDiT) and Center for Cyber Physical Systems (C2PS), Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070429678","display_name":"Qasem Al-Tashi","orcid":"https://orcid.org/0000-0001-7208-693X"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]},{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY","US"],"is_corresponding":false,"raw_author_name":"Qasem Al-Tashi","raw_affiliation_strings":["Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA","Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113665999","display_name":"Muhammad Faheem","orcid":"https://orcid.org/0000-0003-4628-4486"},"institutions":[{"id":"https://openalex.org/I79765343","display_name":"University of Vaasa","ror":"https://ror.org/03769b225","country_code":"FI","type":"education","lineage":["https://openalex.org/I79765343"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Muhammad Faheem","raw_affiliation_strings":["School of Computing (Innovations and Technology), University of Vaasa, Vaasa, Finland","School of Computing Technology and Innovations, University of Vaasa, Wolffintte 34, Vaasa, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing (Innovations and Technology), University of Vaasa, Vaasa, Finland","institution_ids":["https://openalex.org/I79765343"]},{"raw_affiliation_string":"School of Computing Technology and Innovations, University of Vaasa, Wolffintte 34, Vaasa, Finland","institution_ids":["https://openalex.org/I79765343"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030330846","display_name":"Arfat Ahmad Khan","orcid":"https://orcid.org/0000-0003-0918-8874"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Arfat Ahmad Khan","raw_affiliation_strings":["Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.7258,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95959596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"79025","last_page":"79050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9932000041007996,"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":0.7062450647354126},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6509861350059509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284866333007812},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5263491868972778},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5244467854499817},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4969981014728546},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4873217046260834},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4425671100616455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4301908314228058},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4161820113658905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3357284665107727},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.33376169204711914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32819777727127075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062450647354126},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6509861350059509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284866333007812},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5263491868972778},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5244467854499817},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4969981014728546},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4873217046260834},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4425671100616455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4301908314228058},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4161820113658905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3357284665107727},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.33376169204711914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32819777727127075},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3407774","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3407774","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e40b31f7597345f0a8816047151f1899","is_oa":true,"landing_page_url":"https://doaj.org/article/e40b31f7597345f0a8816047151f1899","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 79025-79050 (2024)","raw_type":"article"},{"id":"pmh:oai:osuva.uwasa.fi:10024/19942","is_oa":true,"landing_page_url":"https://osuva.uwasa.fi/handle/10024/19942","pdf_url":null,"source":{"id":"https://openalex.org/S4306400974","display_name":"Osuva (University of Vaasa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79765343","host_organization_name":"University of Vaasa","host_organization_lineage":["https://openalex.org/I79765343"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2-s2.0-85194856028","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3407774","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3407774","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323380","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":104,"referenced_works":["https://openalex.org/W1999951602","https://openalex.org/W2098374519","https://openalex.org/W2099305408","https://openalex.org/W2618025634","https://openalex.org/W2748739903","https://openalex.org/W2750168540","https://openalex.org/W2790477006","https://openalex.org/W2791923256","https://openalex.org/W2795777276","https://openalex.org/W2918800333","https://openalex.org/W2920198800","https://openalex.org/W2943574013","https://openalex.org/W2959456510","https://openalex.org/W2963392702","https://openalex.org/W2964296115","https://openalex.org/W2965401993","https://openalex.org/W2967098998","https://openalex.org/W2968087827","https://openalex.org/W2971358610","https://openalex.org/W2972788736","https://openalex.org/W2979411237","https://openalex.org/W2979556105","https://openalex.org/W2990238027","https://openalex.org/W2991000712","https://openalex.org/W2997028110","https://openalex.org/W2997053073","https://openalex.org/W3002137088","https://openalex.org/W3015259956","https://openalex.org/W3015519144","https://openalex.org/W3016871628","https://openalex.org/W3023349302","https://openalex.org/W3034797671","https://openalex.org/W3034832379","https://openalex.org/W3040607847","https://openalex.org/W3040695166","https://openalex.org/W3040980702","https://openalex.org/W3044707654","https://openalex.org/W3046146541","https://openalex.org/W3087784464","https://openalex.org/W3088732000","https://openalex.org/W3093312167","https://openalex.org/W3095556331","https://openalex.org/W3095640175","https://openalex.org/W3098281398","https://openalex.org/W3100000627","https://openalex.org/W3108848163","https://openalex.org/W3112965401","https://openalex.org/W3119395232","https://openalex.org/W3119559555","https://openalex.org/W3126582326","https://openalex.org/W3135262683","https://openalex.org/W3160670007","https://openalex.org/W3165885787","https://openalex.org/W3169000264","https://openalex.org/W3169893408","https://openalex.org/W3169967744","https://openalex.org/W3171760114","https://openalex.org/W3184007122","https://openalex.org/W3185043261","https://openalex.org/W3194988825","https://openalex.org/W3198228114","https://openalex.org/W3207929337","https://openalex.org/W3209665155","https://openalex.org/W3213236098","https://openalex.org/W4200403734","https://openalex.org/W4200593308","https://openalex.org/W4206052224","https://openalex.org/W4210584943","https://openalex.org/W4225243441","https://openalex.org/W4226442982","https://openalex.org/W4281609905","https://openalex.org/W4283826630","https://openalex.org/W4286973560","https://openalex.org/W4287844709","https://openalex.org/W4288051066","https://openalex.org/W4289766527","https://openalex.org/W4291653428","https://openalex.org/W4296131005","https://openalex.org/W4296711786","https://openalex.org/W4303449427","https://openalex.org/W4306659136","https://openalex.org/W4309048172","https://openalex.org/W4309674002","https://openalex.org/W4311090040","https://openalex.org/W4312209940","https://openalex.org/W4324119314","https://openalex.org/W4360884927","https://openalex.org/W4361208328","https://openalex.org/W4375869374","https://openalex.org/W4379879922","https://openalex.org/W4386352601","https://openalex.org/W4387087507","https://openalex.org/W4387164668","https://openalex.org/W4389610680","https://openalex.org/W4390306673","https://openalex.org/W4390707065","https://openalex.org/W4392942091","https://openalex.org/W4406259944","https://openalex.org/W6777153348","https://openalex.org/W6800374665","https://openalex.org/W6845573487","https://openalex.org/W6860059835","https://openalex.org/W6862683985","https://openalex.org/W6862918595"],"related_works":["https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W3046917719","https://openalex.org/W2097073572","https://openalex.org/W2035842925","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2015687076","https://openalex.org/W2001438600","https://openalex.org/W2392458921"],"abstract_inverted_index":{"Computed":[0],"Tomography":[1],"(CT)":[2],"is":[3],"a":[4,94,126,136,171,231],"non-invasive":[5],"imaging":[6],"modality":[7],"used":[8],"to":[9,32,55,147,168,234,237],"detect":[10],"abnormalities":[11,37],"in":[12,112,152],"the":[13,20,33,43,76,149,185,209,239],"human":[14],"body":[15],"with":[16,102],"high":[17,106],"precision.":[18],"However,":[19],"electromagnetic":[21],"radiation":[22,192],"emitted":[23],"during":[24],"CT":[25,49,98,189],"scans":[26],"poses":[27,93],"health":[28],"risks,":[29],"potentially":[30],"leading":[31],"development":[34],"of":[35,45,79,174,188,203,217,243],"metabolic":[36],"and":[38,69,87,105,179,205,222,241],"genetic":[39],"disorders,":[40],"which":[41],"increase":[42],"risk":[44],"cancer.":[46],"The":[47],"Low-Dose":[48],"(LDCT)":[50],"scanning":[51],"technique":[52],"was":[53,145],"developed":[54],"address":[56],"these":[57,85],"hazards,":[58],"but":[59],"it":[60,213],"has":[61],"several":[62],"limitations,":[63,177],"including":[64],"noise,":[65],"artifacts,":[66],"reduced":[67],"contrast,":[68],"structural":[70],"changes.":[71],"These":[72],"drawbacks":[73],"significantly":[74],"reduce":[75],"diagnostic":[77],"capabilities":[78],"Computer-Aided":[80],"Diagnosis":[81],"(CAD)":[82],"systems.":[83],"Eliminating":[84],"noises":[86],"artifacts":[88,111],"while":[89],"preserving":[90],"critical":[91],"features":[92],"significant":[95],"challenge.":[96],"Traditional":[97],"denoising":[99,220],"algorithms":[100,155],"struggle":[101],"edge":[103],"blurring":[104],"computational":[107],"costs,":[108],"often":[109],"generating":[110],"flat":[113],"regions":[114],"as":[115,125,198,200],"noise":[116,204],"levels":[117],"increase.":[118],"Consequently,":[119],"deep":[120,153],"learning-based":[121],"methods":[122],"have":[123],"emerged":[124],"promising":[127],"solution":[128],"for":[129,156,226],"LDCT":[130,157,163,210,218,244],"image":[131,158,219],"denoising.":[132,159],"In":[133],"this":[134],"study,":[135],"comprehensive":[137],"Systematic":[138],"Literature":[139],"Review":[140],"(SLR)":[141],"following":[142],"PRISMA":[143],"guidelines":[144],"conducted":[146],"explore":[148],"latest":[150],"advancements":[151],"learning":[154],"This":[160,181],"SLR":[161],"spans":[162],"image-denoising":[164],"research":[165],"from":[166],"2018":[167],"2024,":[169],"providing":[170],"detailed":[172],"summary":[173],"methodologies,":[175],"benefits,":[176],"parameters,":[178],"trends.":[180],"study":[182],"delves":[183],"into":[184],"acquisition":[186],"process":[187],"scans,":[190],"investigating":[191],"absorption":[193],"across":[194],"various":[195],"anatomical":[196],"regions,":[197],"well":[199],"identifying":[201],"sources":[202],"its":[206],"distribution":[207],"within":[208],"images.":[211,245],"Additionally,":[212],"enhances":[214],"our":[215],"understanding":[216],"trends":[221],"provides":[223],"valuable":[224],"insights":[225],"future":[227],"research,":[228],"thus":[229],"making":[230],"substantial":[232],"contribution":[233],"ongoing":[235],"efforts":[236],"enhance":[238],"quality":[240],"reliability":[242]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}