{"id":"https://openalex.org/W4416431118","doi":"https://doi.org/10.1007/s10586-025-05847-3","title":"Benchmarking binary classification of Johne\u2019s disease using a multi-resolution histopathological image dataset","display_name":"Benchmarking binary classification of Johne\u2019s disease using a multi-resolution histopathological image dataset","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416431118","doi":"https://doi.org/10.1007/s10586-025-05847-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-025-05847-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05847-3","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-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/A5042348594","display_name":"Mohammad Fraiwan","orcid":"https://orcid.org/0000-0001-6352-5275"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Mohammad Fraiwan","raw_affiliation_strings":["Department of Computer Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020938721","display_name":"Wael Hananeh","orcid":"https://orcid.org/0000-0002-2352-4435"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Wael Hananeh","raw_affiliation_strings":["Department of Veterinary Pathology and Public Health, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Veterinary Pathology and Public Health, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042348594"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47445646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11316","display_name":"Mycobacterium research and diagnosis","score":0.5267999768257141,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11316","display_name":"Mycobacterium research and diagnosis","score":0.5267999768257141,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.07729999721050262,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.07360000163316727,"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/interpretability","display_name":"Interpretability","score":0.8784000277519226},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8123000264167786},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6601999998092651},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4765999913215637},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.47119998931884766},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4602000117301941},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4562999904155731},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4318999946117401},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41839998960494995}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8784000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8626999855041504},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8123000264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6872000098228455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6601999998092651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6049000024795532},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4765999913215637},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.47119998931884766},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4602000117301941},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-025-05847-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05847-3","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1597749371","https://openalex.org/W2097117768","https://openalex.org/W2103243046","https://openalex.org/W2144210868","https://openalex.org/W2194775991","https://openalex.org/W2344480160","https://openalex.org/W2399939693","https://openalex.org/W2470965540","https://openalex.org/W2531409750","https://openalex.org/W2581082771","https://openalex.org/W2592929672","https://openalex.org/W2593345132","https://openalex.org/W2751723768","https://openalex.org/W2760946358","https://openalex.org/W2777637766","https://openalex.org/W2796409016","https://openalex.org/W2805886241","https://openalex.org/W2889232360","https://openalex.org/W2955425717","https://openalex.org/W2956228567","https://openalex.org/W2962858109","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W2967444033","https://openalex.org/W3046154346","https://openalex.org/W3122953849","https://openalex.org/W3135547872","https://openalex.org/W4280531683","https://openalex.org/W4365516941","https://openalex.org/W4403117339","https://openalex.org/W4405667087","https://openalex.org/W4405705178","https://openalex.org/W4408265188","https://openalex.org/W4411866683"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-28T13:57:33.179872","created_date":"2025-11-20T00:00:00"}
