{"id":"https://openalex.org/W4407298158","doi":"https://doi.org/10.3390/bdcc9020036","title":"Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation","display_name":"Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation","publication_year":2025,"publication_date":"2025-02-09","ids":{"openalex":"https://openalex.org/W4407298158","doi":"https://doi.org/10.3390/bdcc9020036"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9020036","pdf_url":"https://www.mdpi.com/2504-2289/9/2/36/pdf?version=1739411807","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/2/36/pdf?version=1739411807","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030110600","display_name":"Juan A. Ram\u00edrez-Quintana","orcid":"https://orcid.org/0000-0003-4445-6555"},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Juan A. Ramirez-Quintana","raw_affiliation_strings":["Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico"],"affiliations":[{"raw_affiliation_string":"Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116208293","display_name":"Edgar A. Salazar-Gonzalez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Edgar A. Salazar-Gonzalez","raw_affiliation_strings":["Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico"],"affiliations":[{"raw_affiliation_string":"Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035039048","display_name":"Mario I. Chac\u00f3n-Murgu\u00eda","orcid":"https://orcid.org/0000-0002-5382-9424"},"institutions":[{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mario I. Chacon-Murguia","raw_affiliation_strings":["Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico"],"affiliations":[{"raw_affiliation_string":"Graduate Studies and Research Division, Tecnologico Nacional de Mexico/I.T. Chihuahua, Chihuahua 31200, Mexico","institution_ids":["https://openalex.org/I4210090124"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011960856","display_name":"Carlos Arzate-Quintana","orcid":"https://orcid.org/0000-0002-5673-5992"},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos Arzate-Quintana","raw_affiliation_strings":["Faculty of Medicine and Biomedical Sciences, Universidad Autonoma de Chihuahua Campus II, Chihuahua 31125, Mexico"],"affiliations":[{"raw_affiliation_string":"Faculty of Medicine and Biomedical Sciences, Universidad Autonoma de Chihuahua Campus II, Chihuahua 31125, Mexico","institution_ids":["https://openalex.org/I142652706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030110600"],"corresponding_institution_ids":["https://openalex.org/I4210090124"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.452,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87916361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"36","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9351999759674072,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9351999759674072,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9049999713897705,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659358739852905},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5932998061180115},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5249171853065491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4665503203868866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.410380095243454},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3600184917449951},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15156477689743042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659358739852905},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5932998061180115},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5249171853065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4665503203868866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.410380095243454},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3600184917449951},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15156477689743042}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9020036","pdf_url":"https://www.mdpi.com/2504-2289/9/2/36/pdf?version=1739411807","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:92ae10c06908489b9f6f940505488e4e","is_oa":true,"landing_page_url":"https://doaj.org/article/92ae10c06908489b9f6f940505488e4e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 2, p 36 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9020036","pdf_url":"https://www.mdpi.com/2504-2289/9/2/36/pdf?version=1739411807","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3033546955","display_name":null,"funder_award_id":"19182.24-P","funder_id":"https://openalex.org/F4320313760","funder_display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico"}],"funders":[{"id":"https://openalex.org/F4320313760","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/03dga7879"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407298158.pdf","grobid_xml":"https://content.openalex.org/works/W4407298158.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2467496703","https://openalex.org/W2531409750","https://openalex.org/W2612445135","https://openalex.org/W3040727891","https://openalex.org/W3041689807","https://openalex.org/W3096947210","https://openalex.org/W3127433786","https://openalex.org/W3138076055","https://openalex.org/W3160412534","https://openalex.org/W3174998459","https://openalex.org/W3197262630","https://openalex.org/W3200172539","https://openalex.org/W3204313870","https://openalex.org/W3205884384","https://openalex.org/W4213114139","https://openalex.org/W4281962665","https://openalex.org/W4312159836","https://openalex.org/W4312298566","https://openalex.org/W4321103086","https://openalex.org/W4322775085","https://openalex.org/W4362432936","https://openalex.org/W4362454585","https://openalex.org/W4366524806","https://openalex.org/W4379790993","https://openalex.org/W4383345852","https://openalex.org/W4385649849","https://openalex.org/W4387340254","https://openalex.org/W4387359454","https://openalex.org/W4387776917","https://openalex.org/W4391483785","https://openalex.org/W4391722180","https://openalex.org/W4393132084","https://openalex.org/W4393931494","https://openalex.org/W4394789126","https://openalex.org/W4394997664","https://openalex.org/W4399199688","https://openalex.org/W4399620999","https://openalex.org/W4400231695","https://openalex.org/W6846494224","https://openalex.org/W6860425754","https://openalex.org/W6862859704"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Integrating":[0],"deep":[1,57],"learning":[2,58],"into":[3],"microbiological":[4],"and":[5,27,36,63,66,86,104,107,126,134,143,168,186,189,210],"cell":[6],"analysis":[7],"from":[8,68],"microscopic":[9,39,69,154],"image":[10],"samples":[11],"has":[12],"gained":[13],"significant":[14],"attention":[15],"in":[16,38,43,153,180,183,207],"recent":[17],"years,":[18],"driven":[19],"by":[20],"the":[21,44,52,181,195],"rise":[22],"of":[23,55,131,150,197],"novel":[24],"medical":[25],"technologies":[26],"pressing":[28],"global":[29],"health":[30,208],"challenges.":[31],"Numerous":[32],"methods":[33],"for":[34,84,157,204],"segmentation":[35,93],"classification":[37],"images":[40,156],"have":[41],"emerged":[42],"literature.":[45],"However,":[46],"key":[47],"challenges":[48],"persist":[49],"due":[50],"to":[51,60,73,102,146],"limited":[53],"development":[54],"specialized":[56],"models":[59],"accurately":[61],"detect":[62,103],"quantify":[64,105],"microorganisms":[65,106],"cells":[67,188],"samples.":[70],"In":[71],"response":[72],"this":[74,76],"gap,":[75],"paper":[77],"introduces":[78],"MBnet,":[79],"an":[80,127,148],"Extreme-Lightweight":[81],"Neural":[82],"Network":[83,100],"Microbiological":[85],"Cell":[87],"Analysis.":[88],"MBnet":[89,175,198],"is":[90],"a":[91,97,110,123,200],"binary":[92,158],"method":[94],"based":[95],"on":[96],"Fully":[98],"Convolutional":[99],"designed":[101],"cells,":[108],"featuring":[109],"low":[111],"computational":[112],"cost":[113],"architecture":[114],"with":[115],"only":[116],"575":[117],"parameters.":[118],"Its":[119],"innovative":[120],"design":[121],"includes":[122],"foreground":[124],"module":[125],"encoder\u2013decoder":[128],"structure":[129],"composed":[130],"traditional,":[132],"depthwise,":[133],"separable":[135],"convolution":[136],"layers.":[137],"These":[138,192],"layers":[139],"integrate":[140],"color,":[141],"orientation,":[142],"morphological":[144],"features":[145],"generate":[147],"understanding":[149],"different":[151],"contexts":[152],"sample":[155],"segmentation.":[159],"Experiments":[160],"were":[161],"conducted":[162],"using":[163],"datasets":[164],"containing":[165],"bacteria,":[166],"yeast,":[167],"blood":[169],"cells.":[170],"The":[171],"results":[172],"suggest":[173],"that":[174],"outperforms":[176],"other":[177],"popular":[178],"networks":[179],"literature":[182],"counting,":[184],"detecting,":[185],"segmenting":[187],"unicellular":[190],"microorganisms.":[191],"findings":[193],"underscore":[194],"potential":[196],"as":[199],"highly":[201],"efficient":[202],"solution":[203],"real-world":[205],"applications":[206],"monitoring":[209],"bioinformatics.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}