{"id":"https://openalex.org/W7131390914","doi":"https://doi.org/10.1109/ccwc67433.2026.11393837","title":"Gastrointestinal Disease Recognition Using Advanced Machine Learning Models","display_name":"Gastrointestinal Disease Recognition Using Advanced Machine Learning Models","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7131390914","doi":"https://doi.org/10.1109/ccwc67433.2026.11393837"},"language":null,"primary_location":{"id":"doi:10.1109/ccwc67433.2026.11393837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc67433.2026.11393837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5067581352","display_name":"Zorawar Singh Jaiswal","orcid":null},"institutions":[{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zorawar Jaiswal","raw_affiliation_strings":["California State University, Northridge,Department of Computer Science,Northridge,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University, Northridge,Department of Computer Science,Northridge,CA,USA","institution_ids":["https://openalex.org/I157638225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126840451","display_name":"Abhishek Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek Verma","raw_affiliation_strings":["California State University, Northridge,Department of Computer Science,Northridge,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University, Northridge,Department of Computer Science,Northridge,CA,USA","institution_ids":["https://openalex.org/I157638225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157638225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17750498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1451","last_page":"1457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.1785999983549118,"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":0.1785999983549118,"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":0.12549999356269836,"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"}},{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.10180000215768814,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/gastrointestinal-tract","display_name":"Gastrointestinal tract","score":0.5758000016212463},{"id":"https://openalex.org/keywords/endoscope","display_name":"Endoscope","score":0.5065000057220459},{"id":"https://openalex.org/keywords/digestive-tract","display_name":"Digestive tract","score":0.4864000082015991},{"id":"https://openalex.org/keywords/endoscopy","display_name":"Endoscopy","score":0.486299991607666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43970000743865967},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4239000082015991},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.3456000089645386}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190999746322632},{"id":"https://openalex.org/C2780512811","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Gastrointestinal tract","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171999931335449},{"id":"https://openalex.org/C2776820786","wikidata":"https://www.wikidata.org/wiki/Q580725","display_name":"Endoscope","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C2992581678","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Digestive tract","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C2778451229","wikidata":"https://www.wikidata.org/wiki/Q212809","display_name":"Endoscopy","level":2,"score":0.486299991607666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48539999127388},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37720000743865967},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C33230849","wikidata":"https://www.wikidata.org/wiki/Q5526841","display_name":"Gastrointestinal pathology","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C2994368867","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Gastrointestinal system","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc67433.2026.11393837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc67433.2026.11393837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1586491036","https://openalex.org/W2011301426","https://openalex.org/W2038480278","https://openalex.org/W2117539524","https://openalex.org/W2472803348","https://openalex.org/W2609416538","https://openalex.org/W2623808523","https://openalex.org/W2925126079","https://openalex.org/W3035160371","https://openalex.org/W3035965352","https://openalex.org/W3109469672","https://openalex.org/W3132455321","https://openalex.org/W3150635270","https://openalex.org/W4281780675","https://openalex.org/W4285325507","https://openalex.org/W4285815600","https://openalex.org/W4291700824","https://openalex.org/W4308234197","https://openalex.org/W4321636165","https://openalex.org/W4362605764","https://openalex.org/W4385245566","https://openalex.org/W4392982014","https://openalex.org/W4393935425","https://openalex.org/W4405489422"],"related_works":[],"abstract_inverted_index":{"The":[0,38,85,104,119],"Gastrointestinal":[1],"tract":[2,28,71],"(GI":[3],"tract)":[4],"often":[5],"known":[6],"as":[7,123],"the":[8,69,74,88,116],"digestive":[9],"system":[10,14],"is":[11,16,29,112,121],"an":[12,107,113],"organ":[13],"that":[15],"highly":[17],"prone":[18],"to":[19,65,72],"cancers,":[20],"polyps,":[21],"and":[22,33,48,54,96,99],"other":[23],"diseases.":[24],"Examination":[25],"of":[26,68,83,109],"this":[27],"not":[30],"so":[31],"straightforward":[32],"relies":[34],"heavily":[35],"on":[36,126,130],"endoscopy.":[37],"real-time":[39],"feed":[40],"captured":[41],"via":[42],"endoscopy":[43],"can":[44],"last":[45],"for":[46],"hours":[47],"may":[49],"have":[50],"many":[51],"pathological":[52,81],"findings":[53],"anatomical":[55],"landmarks.":[56],"This":[57],"research":[58,120],"presents":[59],"a":[60,77,80,131],"deep":[61],"learning":[62],"based":[63],"solution":[64],"classify":[66],"images":[67],"GI":[70],"highlight":[73],"endoscope":[75],"reaching":[76],"landmark":[78],"or":[79],"region":[82],"interest.":[84],"experiments":[86],"compare":[87],"prior":[89],"benchmarks":[90],"with":[91],"CNN-based":[92],"architectures":[93],"(EfficientNet":[94],"L2":[95],"EfficientNet":[97],"B7)":[98],"Transformer-based":[100],"architecture":[101],"(Hiera":[102],"H).":[103],"experiment":[105],"achieves":[106],"accuracy":[108,129],"93.7%,":[110],"which":[111],"improvement":[114],"upon":[115],"existing":[117],"benchmarks.":[118],"important":[122],"it":[124],"focuses":[125],"achieving":[127],"high":[128],"limited":[132],"2K":[133],"size":[134],"training":[135],"set":[136],"without":[137],"overfitting.":[138]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-26T00:00:00"}