{"id":"https://openalex.org/W2845205073","doi":"https://doi.org/10.1109/bibm.2018.8621130","title":"Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks","display_name":"Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2845205073","doi":"https://doi.org/10.1109/bibm.2018.8621130","mag":"2845205073"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.04355","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000057415","display_name":"Varun Shenoy","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Varun N. Shenoy","raw_affiliation_strings":["Cupertino High School, Cupertino, CA, USA"],"affiliations":[{"raw_affiliation_string":"Cupertino High School, Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017788648","display_name":"Elizabeth Foster","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elizabeth Foster","raw_affiliation_strings":["Castilleja School, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Castilleja School, Palo Alto, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037709476","display_name":"Lauren Aalami","orcid":"https://orcid.org/0009-0007-7132-5362"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren Aalami","raw_affiliation_strings":["Stanford University, Stanford, CA, USA","Stanford Univ., Stanford, CA (USA)"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford Univ., Stanford, CA (USA)","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025078828","display_name":"Bakar Majeed","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bakar Majeed","raw_affiliation_strings":["Stanford University, Stanford, CA, USA","Stanford Univ., Stanford, CA (USA)"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford Univ., Stanford, CA (USA)","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086999248","display_name":"Oliver Aalami","orcid":"https://orcid.org/0000-0002-7799-2429"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oliver Aalami","raw_affiliation_strings":["Stanford University, Stanford, CA, USA","Stanford Univ., Stanford, CA (USA)"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford Univ., Stanford, CA (USA)","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000057415"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0291,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87525593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10771","display_name":"Wound Healing and Treatments","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.844809889793396},{"id":"https://openalex.org/keywords/wound-care","display_name":"Wound care","score":0.642393946647644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6172100901603699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667078495025635},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.558035135269165},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5320834517478943},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4740709364414215},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46054619550704956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39936181902885437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39758431911468506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39296865463256836},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.27724704146385193}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.844809889793396},{"id":"https://openalex.org/C2993807428","wikidata":"https://www.wikidata.org/wiki/Q25324087","display_name":"Wound care","level":2,"score":0.642393946647644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6172100901603699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667078495025635},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.558035135269165},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5320834517478943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4740709364414215},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46054619550704956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39936181902885437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39758431911468506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39296865463256836},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.27724704146385193}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bibm.2018.8621130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1807.04355","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.04355","pdf_url":"https://arxiv.org/pdf/1807.04355","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2845205073","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1807.04355.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1807.04355","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.04355","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.04355","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.04355","pdf_url":"https://arxiv.org/pdf/1807.04355","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2845205073.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1963952834","https://openalex.org/W2058333183","https://openalex.org/W2108598243","https://openalex.org/W2150701449","https://openalex.org/W2169393322","https://openalex.org/W2299192044","https://openalex.org/W2350657927","https://openalex.org/W2581082771","https://openalex.org/W2766447205","https://openalex.org/W2919115771","https://openalex.org/W6631190155","https://openalex.org/W6675354045","https://openalex.org/W6696750621","https://openalex.org/W6746060310","https://openalex.org/W6746693533","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2293652202","https://openalex.org/W2947334184","https://openalex.org/W3200693321","https://openalex.org/W2739957447","https://openalex.org/W2790266252","https://openalex.org/W2490254016","https://openalex.org/W3175850849","https://openalex.org/W3133881798","https://openalex.org/W2295163033","https://openalex.org/W1546282652","https://openalex.org/W3093249162","https://openalex.org/W3185571837","https://openalex.org/W2962799915","https://openalex.org/W3203555768","https://openalex.org/W2917714305","https://openalex.org/W2185500722","https://openalex.org/W2003368421","https://openalex.org/W3133257460","https://openalex.org/W2342495951","https://openalex.org/W1989544085"],"abstract_inverted_index":{"Postoperative":[0],"wound":[1,23,30,44,82,156,197,211],"complications":[2,24],"are":[3],"a":[4,33,50,74,108,151,185,218],"significant":[5],"cause":[6],"of":[7,22,43,52,102,107,204],"expense":[8],"for":[9],"hospitals,":[10],"doctors,":[11],"and":[12,88,123,139,198],"patients.":[13],"Hence,":[14],"an":[15],"effective":[16],"method":[17],"to":[18,37,68,80,143,153,159,172,176,189],"diagnose":[19],"the":[20,38,41,100,105,170,202],"onset":[21],"is":[25,32],"strongly":[26],"desired.":[27],"Algorithmically":[28],"classifying":[29],"images":[31,83],"difficult":[34],"task":[35],"due":[36,158],"variability":[39],"in":[40,61,146,194],"appearance":[42],"sites.":[45],"Convolutional":[46],"neural":[47,54,166],"networks":[48,55],"(CNNs),":[49],"subgroup":[51],"artificial":[53],"that":[56,191,213],"have":[57],"shown":[58],"great":[59],"promise":[60],"analyzing":[62],"visual":[63],"imagery,":[64],"can":[65,97,214],"be":[66,215],"leveraged":[67],"categorize":[69],"surgical":[70,115,199],"wounds.":[71],"We":[72,182],"present":[73,184],"multi-label":[75],"CNN":[76],"ensemble,":[77],"Deepwound,":[78],"trained":[79],"classify":[81],"using":[84],"only":[85],"image":[86],"pixels":[87],"corresponding":[89],"labels":[90],"as":[91],"inputs.":[92],"Our":[93,125],"final":[94],"computational":[95],"model":[96,126],"accurately":[98],"identify":[99],"presence":[101,106],"nine":[103],"labels:":[104],"wound,":[109,119],"drainage,":[110],"fibrinous":[111],"exudate,":[112],"granulation":[113],"tissue,":[114],"site":[116],"infection,":[117],"open":[118],"staples,":[120],"steri":[121],"strips,":[122],"sutures.":[124],"achieves":[127],"receiver":[128],"operating":[129],"curve":[130,134],"(ROC)":[131],"area":[132],"under":[133],"(AUC)":[135],"scores,":[136],"sensitivity,":[137],"specificity,":[138],"F1":[140],"scores":[141],"superior":[142],"prior":[144],"work":[145],"this":[147],"area.":[148],"Smartphones":[149],"provide":[150,173],"means":[152],"deliver":[154],"accessible":[155],"care":[157],"their":[160,196,205],"increasing":[161],"ubiquity.":[162],"Paired":[163],"with":[164,217],"deep":[165],"networks,":[167],"they":[168],"offer":[169],"capability":[171],"clinical":[174],"insight":[175],"assist":[177],"surgeons":[178],"during":[179],"postoperative":[180],"care.":[181],"also":[183,208],"mobile":[186],"application":[187],"frontend":[188],"Deepwound":[190],"assists":[192],"patients":[193],"tracking":[195],"recovery":[200],"from":[201],"comfort":[203],"home.":[206],"It":[207],"exports":[209],"comprehensive":[210],"reports":[212],"shared":[216],"surgeon.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
