{"id":"https://openalex.org/W4391249036","doi":"https://doi.org/10.1109/ic3i59117.2023.10398164","title":"Leveraging Convolutional Neural Networks for Improved Drug Identification","display_name":"Leveraging Convolutional Neural Networks for Improved Drug Identification","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4391249036","doi":"https://doi.org/10.1109/ic3i59117.2023.10398164"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i59117.2023.10398164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10398164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5073346880","display_name":"Urmila Pilania","orcid":null},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Urmila Pilania","raw_affiliation_strings":["Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","Computer Science Department, Manav Rachna University, Faridabad, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","institution_ids":["https://openalex.org/I55016150"]},{"raw_affiliation_string":"Computer Science Department, Manav Rachna University, Faridabad, Haryana, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444537","display_name":"M. Kumar","orcid":"https://orcid.org/0000-0002-6723-5248"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Kumar","raw_affiliation_strings":["Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","Computer Science Department, Manav Rachna University, Faridabad, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","institution_ids":["https://openalex.org/I55016150"]},{"raw_affiliation_string":"Computer Science Department, Manav Rachna University, Faridabad, Haryana, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101475975","display_name":"Sanjay Kumar Singh","orcid":"https://orcid.org/0000-0002-7101-4341"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjay Singh","raw_affiliation_strings":["Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","Computer Science Department, Manav Rachna University, Faridabad, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Manav Rachna University,Computer Science Department,Faridabad,Haryana,India","institution_ids":["https://openalex.org/I55016150"]},{"raw_affiliation_string":"Computer Science Department, Manav Rachna University, Faridabad, Haryana, India","institution_ids":["https://openalex.org/I55016150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073346880"],"corresponding_institution_ids":["https://openalex.org/I55016150"],"apc_list":null,"apc_paid":null,"fwci":0.7334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82615593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9591000080108643,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9591000080108643,"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/T10862","display_name":"AI in cancer detection","score":0.9226999878883362,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9200000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8780018091201782},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.8010427355766296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7551953792572021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6405161619186401},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5491374731063843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5442436337471008},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5055274963378906},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49744585156440735},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4581969380378723},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.44085195660591125},{"id":"https://openalex.org/keywords/pharmaceutical-industry","display_name":"Pharmaceutical industry","score":0.4115385413169861},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3305794596672058},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19774749875068665},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11959215998649597},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.07874450087547302}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8780018091201782},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.8010427355766296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551953792572021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6405161619186401},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5491374731063843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5442436337471008},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5055274963378906},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49744585156440735},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4581969380378723},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.44085195660591125},{"id":"https://openalex.org/C2779652045","wikidata":"https://www.wikidata.org/wiki/Q507443","display_name":"Pharmaceutical industry","level":2,"score":0.4115385413169861},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3305794596672058},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19774749875068665},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11959215998649597},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.07874450087547302},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i59117.2023.10398164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10398164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1511385833","https://openalex.org/W2119593291","https://openalex.org/W2162050899","https://openalex.org/W2188818869","https://openalex.org/W2584507633","https://openalex.org/W2607941059","https://openalex.org/W2803317672","https://openalex.org/W3015714982","https://openalex.org/W3162354280","https://openalex.org/W4200459621","https://openalex.org/W4287147129","https://openalex.org/W4288754489","https://openalex.org/W4293060158","https://openalex.org/W4388585866"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,129,146,192],"use":[1],"of":[2,15,31,35,40,63,70,123,136,172,188,194,203],"Convolutional":[3],"Neural":[4],"Network":[5],"(CNN)":[6],"in":[7,17,60,164,174,210],"drug":[8,137,165,177,207],"identification":[9,178,208],"has":[10],"become":[11],"a":[12,68,161],"crucial":[13],"area":[14],"research":[16],"the":[18,32,41,61,73,86,98,110,113,121,127,140,150,170,176,184,189,201,211],"pharmaceutical":[19,190],"industry.":[20,191],"Medicine":[21,43],"business":[22],"is":[23,53,84,117],"among":[24],"most":[25],"prior":[26],"sectors":[27],"and":[28,50,94,139,159,186,205],"people":[29],"think":[30],"uppermost":[33],"level":[34],"care":[36],"or":[37,55,67,81],"facilities":[38],"irrespective":[39],"cost.":[42],"key":[44],"information":[45],"includes":[46],"imprint,":[47],"shape,":[48],"color,":[49],"size.":[51],"Imprint":[52],"indented":[54],"written":[56],"on":[57,126,133],"each":[58],"medicine":[59,83,124],"form":[62],"symbols,":[64],"digits,":[65],"alphabets,":[66],"combination":[69],"these.":[71],"What's":[72],"deal":[74],"with":[75],"identifying":[76],"medicine?":[77],"As":[78],"various":[79],"legal":[80],"illegal":[82],"around":[85],"market":[87],"it's":[88,101],"difficult":[89,103],"to":[90,108,119],"differentiate":[91,109],"between":[92],"original":[93],"fake.":[95],"Forget":[96],"about":[97],"normal":[99],"person":[100],"also":[102],"for":[104,200],"an":[105],"experienced":[106],"pharmacist":[107],"drugs.":[111],"In":[112],"proposed":[114,151],"work,":[115],"CNN":[116,152],"used":[118],"identify":[120],"type":[122],"based":[125],"imprint.":[128],"model":[130,153],"was":[131,142],"trained":[132],"Kaggle":[134],"dataset":[135],"images,":[138],"performance":[141],"evaluated":[143],"using":[144],"accuracy.":[145],"results":[147],"showed":[148],"that":[149],"outperformed":[154],"traditional":[155],"image":[156],"recognition":[157],"methods":[158],"achieved":[160],"high":[162],"accuracy":[163,187],"identification.":[166],"This":[167],"study":[168,196],"demonstrates":[169],"potential":[171],"CNNs":[173],"automating":[175],"process,":[179],"which":[180],"could":[181],"significantly":[182],"improve":[183],"efficiency":[185],"findings":[193],"this":[195],"have":[197],"important":[198],"implications":[199],"development":[202],"efficient":[204],"reliable":[206],"systems":[209],"future.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}