{"id":"https://openalex.org/W4415744768","doi":"https://doi.org/10.23919/spa65537.2025.11215095","title":"Multi-Class Shrimp Disease Detection Using Deep Convolutional Neural Networks with ExplainableAI","display_name":"Multi-Class Shrimp Disease Detection Using Deep Convolutional Neural Networks with ExplainableAI","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4415744768","doi":"https://doi.org/10.23919/spa65537.2025.11215095"},"language":null,"primary_location":{"id":"doi:10.23919/spa65537.2025.11215095","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa65537.2025.11215095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5103277779","display_name":"Abdul Kadar Muhammad Masum","orcid":"https://orcid.org/0000-0002-8642-5688"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abdul Kadar Muhammad Masum","raw_affiliation_strings":["Southeast University,Department of Computer Science and Engieering,Dhaka,Bangladesh,1208"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Department of Computer Science and Engieering,Dhaka,Bangladesh,1208","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077446634","display_name":"Abu Kowshir Bitto","orcid":"https://orcid.org/0000-0003-1561-960X"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abu Kowshir Bitto","raw_affiliation_strings":["Daffodil International University,Department of Software Engineering,Dhaka,Bangladesh,1216"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Software Engineering,Dhaka,Bangladesh,1216","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974080","display_name":"Md. Maruf Hassan","orcid":"https://orcid.org/0000-0002-4475-2664"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Maruf Hassan","raw_affiliation_strings":["Southeast University,Department of Computer Science and Engieering,Dhaka,Bangladesh,1208"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Department of Computer Science and Engieering,Dhaka,Bangladesh,1208","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049525793","display_name":"Touhid Bhuiyan","orcid":"https://orcid.org/0000-0002-6747-0846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Touhid Bhuiyan","raw_affiliation_strings":["Washington University of Science and Technology,School of Information Technology,Virginia,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University of Science and Technology,School of Information Technology,Virginia,United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11403","display_name":"Invertebrate Immune Response Mechanisms","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11403","display_name":"Invertebrate Immune Response Mechanisms","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.016300000250339508,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10506","display_name":"Aquaculture disease management and microbiota","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shrimp","display_name":"Shrimp","score":0.741100013256073},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7372000217437744},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7120000123977661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.546999990940094},{"id":"https://openalex.org/keywords/white-spot-syndrome","display_name":"White spot syndrome","score":0.5267000198364258},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4959000051021576},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4796000123023987}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8230000138282776},{"id":"https://openalex.org/C2776841996","wikidata":"https://www.wikidata.org/wiki/Q1517781","display_name":"Shrimp","level":2,"score":0.741100013256073},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7372000217437744},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7120000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259999871253967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.546999990940094},{"id":"https://openalex.org/C2779771762","wikidata":"https://www.wikidata.org/wiki/Q3143049","display_name":"White spot syndrome","level":3,"score":0.5267000198364258},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4713999927043915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.35530000925064087},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31139999628067017}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa65537.2025.11215095","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa65537.2025.11215095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/W1987401992","https://openalex.org/W2943305144","https://openalex.org/W2949671568","https://openalex.org/W3027734488","https://openalex.org/W3043657033","https://openalex.org/W3082767386","https://openalex.org/W3215753146","https://openalex.org/W4205227880","https://openalex.org/W4206796133","https://openalex.org/W4283743250","https://openalex.org/W4298148810","https://openalex.org/W4308932085","https://openalex.org/W4391538763","https://openalex.org/W4403274484"],"related_works":[],"abstract_inverted_index":{"Shrimp":[0],"aquaculture":[1],"is":[2],"a":[3,35,68],"critical":[4],"source":[5],"of":[6,42,46,168],"global":[7],"food":[8],"production":[9],"but":[10],"faces":[11],"grave":[12],"challenges":[13],"posed":[14],"by":[15],"infectious":[16],"diseases":[17],"such":[18,148],"as":[19,140,149],"Black":[20],"Gill":[21],"(BG)":[22],"disease":[23,166],"and":[24,54,67,85,99,130,151,164],"White":[25],"Spot":[26],"Syndrome":[27],"Virus":[28],"(WSSV).":[29],"In":[30],"this":[31],"work,":[32],"we":[33],"utilized":[34],"deep":[36,159],"learning":[37,137,160],"approach":[38],"to":[39,126,131],"multi-class":[40],"classification":[41],"the":[43,141],"health":[44],"condition":[45],"shrimp":[47,169],"samples":[48],"into":[49],"classes":[50],"Healthy,":[51],"BG,":[52],"WSSV,":[53],"co-infected":[55],"(BG_WSSV).":[56],"We":[57],"evaluated":[58],"three":[59],"top":[60],"convolutional":[61],"neural":[62],"network":[63],"models,":[64],"InceptionV3,":[65],"Xception,":[66],"Dual-Xception":[69,105],"fusion":[70],"model,":[71],"on":[72,112],"5-fold":[73],"cross-validation,":[74],"each":[75],"trained":[76],"for":[77,162],"more":[78,108,113],"than":[79,109,114],"10":[80],"epochs":[81],"with":[82,107,116],"default":[83],"parameters":[84],"equal":[86],"computational":[87],"power.":[88],"Performance":[89],"metrics":[90],"like":[91],"accuracy,":[92],"precision,":[93],"F1":[94],"score,":[95],"TPR,":[96],"TNR,":[97],"FPR,":[98],"FNR":[100],"were":[101,124],"thoroughly":[102],"analyzed.":[103],"The":[104,154],"outperformed":[106],"87%":[110],"accuracy":[111],"one-fold":[115],"special":[117],"preference":[118],"in":[119],"detecting":[120],"co-infection.":[121],"Grad-CAM":[122],"visualizations":[123],"used":[125],"model":[127,142,161],"focus":[128],"interpretation":[129],"cross-check":[132],"feature":[133,136],"learning,":[134],"where":[135],"was":[138],"verified":[139],"can":[143],"identify":[144],"biologically":[145],"relevant":[146],"regions":[147],"gills":[150],"abdominal":[152],"areas.":[153],"results":[155],"depict":[156],"an":[157],"encouraging":[158],"interpretable":[163],"accurate":[165],"screening":[167],"aquaculture.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-31T00:00:00"}