{"id":"https://openalex.org/W4407248106","doi":"https://doi.org/10.1109/aibthings63359.2024.10863103","title":"Resource Efficient Deep Learning Architectures for Histopathology-Based Colorectal Cancer Detection","display_name":"Resource Efficient Deep Learning Architectures for Histopathology-Based Colorectal Cancer Detection","publication_year":2024,"publication_date":"2024-09-07","ids":{"openalex":"https://openalex.org/W4407248106","doi":"https://doi.org/10.1109/aibthings63359.2024.10863103"},"language":"en","primary_location":{"id":"doi:10.1109/aibthings63359.2024.10863103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aibthings63359.2024.10863103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)","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/A5028725417","display_name":"Md. Bipul Hossain","orcid":"https://orcid.org/0000-0003-0176-470X"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Bipul Hossain","raw_affiliation_strings":["University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085512777","display_name":"Mohamed Shaban","orcid":"https://orcid.org/0000-0003-4900-1859"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Shaban","raw_affiliation_strings":["University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Alabama,Electrical and Computer Engineering,Mobile,AL,USA","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83809506"],"apc_list":null,"apc_paid":null,"fwci":0.5972,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7596778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9952999949455261,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9876000285148621,"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":0.6810172200202942},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.6708692312240601},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.5842756032943726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5308184623718262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058529376983643},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.46047109365463257},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.283773273229599},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1733209788799286},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09752339124679565},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09572198987007141},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08260735869407654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6810172200202942},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.6708692312240601},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.5842756032943726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5308184623718262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058529376983643},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.46047109365463257},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.283773273229599},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1733209788799286},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09752339124679565},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09572198987007141},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08260735869407654}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aibthings63359.2024.10863103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aibthings63359.2024.10863103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)","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":15,"referenced_works":["https://openalex.org/W2084662944","https://openalex.org/W2129112648","https://openalex.org/W2963122961","https://openalex.org/W3049194058","https://openalex.org/W3114071918","https://openalex.org/W3196543906","https://openalex.org/W4281635832","https://openalex.org/W4293213133","https://openalex.org/W4386746075","https://openalex.org/W4388015863","https://openalex.org/W4390946922","https://openalex.org/W6695314431","https://openalex.org/W6772280001","https://openalex.org/W6772510107","https://openalex.org/W6783274983"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"offers":[3],"a":[4,56,77],"promising":[5],"computational":[6],"tool":[7],"for":[8,102],"the":[9,20,24,65,92],"accurate":[10,33],"diagnosis":[11],"and":[12],"screening":[13],"of":[14,23,95],"colorectal":[15],"cancer":[16],"(CRC)":[17],"based":[18],"on":[19,98],"histopathology":[21],"images":[22],"colon.":[25],"In":[26,52],"this":[27],"paper,":[28],"we":[29,54],"propose":[30],"three":[31],"highly":[32],"resource":[34,67],"efficient":[35,68],"DL":[36,97],"architectures":[37],"in":[38,43,60],"order":[39,61],"to":[40,62,72],"detect":[41],"CRC":[42,103],"resource-constrained":[44,99],"environments":[45],"such":[46],"as":[47,83],"mobile":[48],"or":[49],"wearable":[50],"devices.":[51],"addition,":[53],"deploy":[55],"post-training":[57],"quantization":[58],"technique":[59],"further":[63],"reduce":[64],"proposed":[66],"model":[69],"size":[70],"down":[71],"27":[73],"KB":[74],"while":[75],"maintaining":[76],"significantly":[78],"high":[79],"accuracy":[80],"(i.e.,":[81],"99.8%)":[82],"compared":[84],"with":[85],"the-state-of-the-art":[86],"techniques.":[87],"This":[88],"will":[89],"eventually":[90],"facilitate":[91],"future":[93],"deployment":[94],"low-complexity":[96],"edge":[100],"units":[101],"detection.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
