{"id":"https://openalex.org/W2576353028","doi":"https://doi.org/10.2352/issn.2470-1173.2016.15.ipas-189","title":"Prostate cancer detection using photoacoustic imaging and deep learning","display_name":"Prostate cancer detection using photoacoustic imaging and deep learning","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2576353028","doi":"https://doi.org/10.2352/issn.2470-1173.2016.15.ipas-189","mag":"2576353028"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.15.ipas-189","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.15.ipas-189","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5074377925","display_name":"Arjun Raj Rajanna","orcid":"https://orcid.org/0009-0002-5701-6962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arjun Raj Rajanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032475867","display_name":"Raymond Ptucha","orcid":"https://orcid.org/0000-0002-2712-7429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raymond Ptucha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044971303","display_name":"Saugata Sinha","orcid":"https://orcid.org/0000-0003-2835-329X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saugata Sinha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054974168","display_name":"Bhargava Chinni","orcid":"https://orcid.org/0000-0002-8889-1084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhargava Chinni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044758338","display_name":"Vikram S. Dogra","orcid":"https://orcid.org/0000-0003-4413-8055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikram Dogra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103840290","display_name":"Navalgund Rao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navalgund A Rao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9012,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.74504382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"15","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic 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/T12015","display_name":"Photoacoustic and Ultrasonic 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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6756686568260193},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6755681037902832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6661168336868286},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6122342944145203},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5703813433647156},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.562517523765564},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5219894647598267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106619000434875},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4860668480396271},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48129358887672424},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43509620428085327},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4332839846611023},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4285629093647003},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.4179995656013489},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3787074685096741},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23939448595046997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756686568260193},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6755681037902832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6661168336868286},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6122342944145203},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5703813433647156},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.562517523765564},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5219894647598267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106619000434875},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4860668480396271},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48129358887672424},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43509620428085327},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4332839846611023},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4285629093647003},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.4179995656013489},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3787074685096741},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23939448595046997},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.15.ipas-189","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.15.ipas-189","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2039041387"],"abstract_inverted_index":{"After":[0],"skin":[1],"cancer,":[2],"prostate":[3],"cancer":[4,9],"is":[5,115],"the":[6,37,97,120],"most":[7],"common":[8],"in":[10],"American":[11],"men.":[12],"This":[13],"paper":[14],"introduces":[15],"a":[16,22,79],"new":[17],"database":[18,114],"which":[19],"consists":[20,50],"of":[21,26,51],"large":[23],"sample":[24],"size":[25],"patients":[27],"gathered":[28],"using":[29],"multispectral":[30],"photoacoustic":[31],"imaging.":[32],"As":[33],"an":[34],"alternate":[35],"to":[36,119],"standard":[38],"two":[39],"class":[40],"labeling":[41],"(malignant,":[42,54],"normal),":[43],"our":[44],"voxel":[45],"based":[46,85],"ground":[47],"truth":[48],"diagnosis":[49],"three":[52,64],"classes":[53],"benign,":[55],"normal).":[56],"We":[57],"explore":[58],"deep":[59],"neural":[60],"nets,":[61],"experiment":[62],"with":[63,110],"popular":[65],"activation":[66],"functions,":[67],"and":[68,89,99,106],"perform":[69],"different":[70],"sub&#x2013;feature":[71],"group":[72,100],"analysis.":[73],"Our":[74,113],"initial":[75],"results":[76,107],"serve":[77],"as":[78],"benchmark":[80],"on":[81],"this":[82],"database.":[83],"Greedy":[84],"feature":[86,94,98],"selection":[87],"recognizes":[88],"eliminates":[90],"noisy":[91],"features.":[92],"Ablation":[93],"ranking":[95],"at":[96],"level":[101],"can":[102],"simplify":[103],"clinician":[104],"effort":[105],"are":[108],"contrasted":[109],"medical":[111],"literature.":[112],"made":[116],"freely":[117],"available":[118],"scientific":[121],"community.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
