{"id":"https://openalex.org/W4400034733","doi":"https://doi.org/10.1109/icdcs59278.2024.10560955","title":"Deep Learning Approaches to Gastrointestinal Image Classification: Evaluating VGG19 and EfficientNetB0 Models","display_name":"Deep Learning Approaches to Gastrointestinal Image Classification: Evaluating VGG19 and EfficientNetB0 Models","publication_year":2024,"publication_date":"2024-04-23","ids":{"openalex":"https://openalex.org/W4400034733","doi":"https://doi.org/10.1109/icdcs59278.2024.10560955"},"language":"en","primary_location":{"id":"doi:10.1109/icdcs59278.2024.10560955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdcs59278.2024.10560955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Devices, Circuits and Systems (ICDCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064797528","display_name":"S. Padmakala","orcid":"https://orcid.org/0000-0001-6539-8628"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Padmakala","raw_affiliation_strings":["Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University,Department of Computer science and Engineering,Chennai,India","Department of Computer science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University,Department of Computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064797528"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":10.3749,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98382478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9664999842643738,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9664999842643738,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9262999892234802,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.6671358346939087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149227619171143},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5059539675712585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47824493050575256},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45543843507766724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3479887843132019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33505356311798096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671358346939087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149227619171143},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5059539675712585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47824493050575256},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45543843507766724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3479887843132019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33505356311798096}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdcs59278.2024.10560955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdcs59278.2024.10560955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Devices, Circuits and Systems (ICDCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3173486383","https://openalex.org/W3183947617","https://openalex.org/W3196462198","https://openalex.org/W4205113901","https://openalex.org/W4250422246","https://openalex.org/W4293246374","https://openalex.org/W4311911565","https://openalex.org/W4312118905","https://openalex.org/W4321440245","https://openalex.org/W4323891929","https://openalex.org/W4368372202","https://openalex.org/W4384911863","https://openalex.org/W4386414077","https://openalex.org/W4387343286","https://openalex.org/W4389136107"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4380075502","https://openalex.org/W2795259429","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"This":[0,148],"research":[1,38],"reports":[2],"on":[3],"the":[4,14,20,28,43,60,69,80,83,92,126,153,159,199],"comparison":[5],"of":[6,16,30,51,63,71,82,94,114,125,129,141,185,201],"a":[7,55,122],"VGG19":[8],"and":[9,34,47,75,85,97,109,117,146,191],"an":[10,138],"EfficientNetB0":[11,130,157],"models":[12,187],"for":[13,194],"identification":[15],"gastrointestinal":[17,64,167],"images.":[18],"At":[19],"same":[21],"time":[22],"that":[23,91],"deep":[24,202],"learning":[25],"is":[26,121],"becoming":[27],"cornerstone":[29],"medical":[31,195],"imaging":[32],"applications":[33],"as":[35],"such,":[36],"our":[37],"will":[39,181],"aim":[40],"to":[41,68,105,137,165],"select":[42],"most":[44],"accurate,":[45],"fast,":[46],"robust":[48],"model":[49,76,84,131],"out":[50],"them.":[52],"By":[53],"incorporating":[54],"Kaggle":[56],"dataset":[57],"which":[58,169],"include":[59],"whole":[61],"array":[62],"disorders,":[65],"we":[66],"resorted":[67],"processes":[70],"data":[72],"augmentation,":[73],"preparation,":[74],"experimental":[77],"work":[78,149,180],"involving":[79],"training":[81],"its":[86],"testing.":[87],"It":[88,120],"was":[89],"seen":[90],"functionalities":[93],"EfficientNetB0(Test":[95],"Accuracy-84.4%":[96],"Test":[98,118],"Loss-0.554)-":[99],"were":[100],"much":[101],"better":[102,173],"(in":[103],"respect":[104],"accuracy":[106],"in":[107,158,172],"classification":[108,197],"computational":[110],"efficiency)":[111],"than":[112],"those":[113],"VGG19(Test":[115],"Accuracy-83.5%":[116],"Loss-0.905).":[119],"clear":[123],"proof":[124],"high":[127],"generalizability":[128],"from":[132],"different":[133],"datasets,":[134],"probably":[135],"due":[136],"optimal":[139],"arrangement":[140],"three":[142],"factors":[143],"(depth,":[144],"width":[145],"resolution).":[147],"concludes":[150],"with":[151,177],"empathizing":[152],"possible":[154],"use":[155],"of,":[156],"healthcare":[160],"space":[161],"when":[162],"it":[163],"comes":[164],"diagnosing":[166],"problems":[168],"therefore":[170],"results":[171],"patient":[174],"outcomes.":[175],"Along":[176],"this,":[178],"future":[179],"look":[182],"into":[183,188],"convergence":[184],"these":[186],"clinical":[189],"practice":[190],"envisioning":[192],"them":[193],"image":[196],"through":[198],"integration":[200],"learning-based":[203],"technology.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}