{"id":"https://openalex.org/W4207059317","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682104","title":"Diagnostic Decision Support for Medical Imaging and COVID-19 Image Classification on ARM Mali GPU","display_name":"Diagnostic Decision Support for Medical Imaging and COVID-19 Image Classification on ARM Mali GPU","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4207059317","doi":"https://doi.org/10.1109/gcwkshps52748.2021.9682104"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps52748.2021.9682104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682104","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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/A5064615869","display_name":"S.K. Shreyas","orcid":null},"institutions":[{"id":"https://openalex.org/I96211989","display_name":"HCL Technologies (India)","ror":"https://ror.org/02nbb5780","country_code":"IN","type":"company","lineage":["https://openalex.org/I96211989"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S.K. Shreyas","raw_affiliation_strings":["ERS CET Technology Office, HCL Technologies, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"ERS CET Technology Office, HCL Technologies, Bengaluru, India","institution_ids":["https://openalex.org/I96211989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052142779","display_name":"J. V. Kameshwar Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I96211989","display_name":"HCL Technologies (India)","ror":"https://ror.org/02nbb5780","country_code":"IN","type":"company","lineage":["https://openalex.org/I96211989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J.V Kameshwar Rao","raw_affiliation_strings":["ERS CET Technology Office, HCL Technologies, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"ERS CET Technology Office, HCL Technologies, Hyderabad, India","institution_ids":["https://openalex.org/I96211989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064615869"],"corresponding_institution_ids":["https://openalex.org/I96211989"],"apc_list":null,"apc_paid":null,"fwci":1.5107,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82446809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9886000156402588,"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/T10862","display_name":"AI in cancer detection","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127873301506042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6014129519462585},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5827435851097107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48325997591018677},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.47399771213531494},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42435306310653687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3449641168117523},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14793932437896729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127873301506042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014129519462585},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5827435851097107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48325997591018677},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.47399771213531494},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42435306310653687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3449641168117523},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14793932437896729},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps52748.2021.9682104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps52748.2021.9682104","pdf_url":null,"source":{"id":"https://openalex.org/S4363605397","display_name":"2021 IEEE Globecom Workshops (GC Wkshps)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2515329741","https://openalex.org/W2845644909","https://openalex.org/W2946933691","https://openalex.org/W2963446712","https://openalex.org/W3013019084","https://openalex.org/W3013042142","https://openalex.org/W3013601031","https://openalex.org/W3016142775","https://openalex.org/W3041006163","https://openalex.org/W3105081694","https://openalex.org/W3122596395","https://openalex.org/W3162351260","https://openalex.org/W4300485340","https://openalex.org/W6725739302","https://openalex.org/W6746693533","https://openalex.org/W6774774494","https://openalex.org/W6775352234","https://openalex.org/W6775515616","https://openalex.org/W6795304270"],"related_works":["https://openalex.org/W4382894326","https://openalex.org/W3035105474","https://openalex.org/W4205698903","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3087333412","https://openalex.org/W3177646415"],"abstract_inverted_index":{"The":[0,65,111,144],"abrupt":[1],"rise":[2],"in":[3,61,195,216],"Coronavirus":[4],"cases":[5],"has":[6,158],"led":[7],"to":[8,55,89,137,171,178],"shortage":[9],"of":[10,26,41,67,93,118,141],"rapid":[11],"and":[12,86,105,124,154,175,192,202],"highly":[13],"sensitive":[14],"reverse":[15],"transcriptase":[16],"polymerase":[17],"chain":[18],"reaction":[19],"(RT-PCR)":[20],"testing":[21],"kits":[22],"for":[23,39,49,107,163,200,220],"the":[24,57,91,125,139,151,155,167,180],"diagnosis":[25,40],"coronavirus":[27],"disease":[28],"2019":[29],"(COVID-19).":[30],"Radiologists":[31],"have":[32],"found":[33],"X-ray":[34,126,142,146],"images":[35,127,147],"could":[36],"be":[37],"useful":[38],"COVID.":[42,64],"In":[43],"this":[44],"work,":[45],"Diagnostic":[46],"Decision":[47],"Support":[48],"Medical":[50],"Imaging":[51],"(DDSM)++":[52],"is":[53,70,100,103,114,169,176,218],"introduced":[54],"detect":[56],"different":[58],"abnormal":[59],"conditions":[60],"lung":[62],"including":[63],"scarcity":[66],"COVID":[68,145,164,221],"dataset":[69],"handled":[71],"by":[72],"using":[73,173],"various":[74],"spatial":[75],"transform":[76],"augmentation":[77],"techniques,":[78],"such":[79],"as":[80],"power":[81],"law":[82],"transformation,":[83],"Gaussian":[84],"blur,":[85],"sharpening.":[87],"Also,":[88],"get":[90],"benefit":[92],"inference":[94,181,196],"accelerators,":[95],"an":[96,115],"android":[97],"mobile":[98],"application":[99],"developed":[101],"which":[102],"quantized":[104,170],"optimized":[106],"ARM":[108,187,208],"Mali":[109,188,209],"GPU.":[110,189,210],"DDSM++":[112],"model":[113,120,168],"extended":[116],"version":[117],"DDSM":[119],"(inspired":[121],"from":[122,150],"Densenet-121),":[123],"are":[128,148],"preprocessed":[129],"with":[130,186],"Contrast":[131],"Limited":[132],"Adaptive":[133],"Histogram":[134],"Equalization":[135],"(CLAHE)":[136],"improve":[138],"quality":[140],"images.":[143],"obtained":[149,159],"open":[152],"source":[153],"proposed":[156],"method":[157],"almost":[160],"98.47%":[161],"accuracy":[162,217],"detection.":[165,222],"Further,":[166],"FP-16":[172,203],"TFLITE":[174],"utilized":[177],"benchmark":[179],"acceleration":[182],"on":[183,207],"Edge":[184],"devices":[185],"About":[190],"30%":[191],"80%":[193],"reduction":[194],"time":[197],"was":[198],"observed":[199,219],"FP-32":[201],"models":[204],"when":[205],"run":[206],"Post":[211],"quantization,":[212],"about":[213],"5%":[214],"drop":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}