{"id":"https://openalex.org/W4415387873","doi":"https://doi.org/10.1007/s11063-025-11753-x","title":"Deep Learning-based Pathological Image Analysis Algorithm for Early Diagnosis of Breast Cancer","display_name":"Deep Learning-based Pathological Image Analysis Algorithm for Early Diagnosis of Breast Cancer","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415387873","doi":"https://doi.org/10.1007/s11063-025-11753-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-025-11753-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11753-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11753-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11753-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034722018","display_name":"Tangsen Huang","orcid":"https://orcid.org/0000-0002-4426-2622"},"institutions":[{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]},{"id":"https://openalex.org/I3129496460","display_name":"Lishui University","ror":"https://ror.org/0418kp584","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129496460"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tangsen Huang","raw_affiliation_strings":["Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China","School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China"],"affiliations":[{"raw_affiliation_string":"Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","institution_ids":["https://openalex.org/I3129496460","https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China","institution_ids":["https://openalex.org/I24407930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089477958","display_name":"Xingru Huang","orcid":"https://orcid.org/0000-0003-3971-8434"},"institutions":[{"id":"https://openalex.org/I3129496460","display_name":"Lishui University","ror":"https://ror.org/0418kp584","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129496460"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingru Huang","raw_affiliation_strings":["Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China"],"affiliations":[{"raw_affiliation_string":"Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","institution_ids":["https://openalex.org/I3129496460","https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049284356","display_name":"Haibing Yin","orcid":"https://orcid.org/0000-0002-3025-0938"},"institutions":[{"id":"https://openalex.org/I3129496460","display_name":"Lishui University","ror":"https://ror.org/0418kp584","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129496460"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibing Yin","raw_affiliation_strings":["Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China"],"affiliations":[{"raw_affiliation_string":"Lishui Institute of Hangzhou Dianzi University, Lishui, 323000, China","institution_ids":["https://openalex.org/I3129496460","https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034722018"],"corresponding_institution_ids":["https://openalex.org/I24407930","https://openalex.org/I3129496460","https://openalex.org/I50760025"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1540033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9909999966621399,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6337000131607056},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5691999793052673},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.510200023651123},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5098000168800354},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4593999981880188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36809998750686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064999938011169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6506999731063843},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6337000131607056},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5691999793052673},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.387800008058548},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.34200000762939453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2646999955177307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-025-11753-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11753-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11753-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-025-11753-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11753-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11753-x.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G113463390","display_name":null,"funder_award_id":"2024JJ7187","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3831407143","display_name":null,"funder_award_id":"62102147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4537613039","display_name":null,"funder_award_id":"41771406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5426880972","display_name":null,"funder_award_id":"41771406","funder_id":"https://openalex.org/F4320322191","funder_display_name":"Hunan University"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6984156972","display_name":null,"funder_award_id":"2024JJ7184","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322191","display_name":"Hunan University","ror":"https://ror.org/05htk5m33"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415387873.pdf","grobid_xml":"https://content.openalex.org/works/W4415387873.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1964081206","https://openalex.org/W2063011414","https://openalex.org/W2076063813","https://openalex.org/W2129124145","https://openalex.org/W2154589460","https://openalex.org/W2160815625","https://openalex.org/W2401520370","https://openalex.org/W2580767461","https://openalex.org/W2618530766","https://openalex.org/W2772723798","https://openalex.org/W2907066882","https://openalex.org/W2919115771","https://openalex.org/W2949955266","https://openalex.org/W2951209146","https://openalex.org/W2993303538","https://openalex.org/W3018525942","https://openalex.org/W3042187860","https://openalex.org/W3159103920","https://openalex.org/W4211233744","https://openalex.org/W4396802037"],"related_works":[],"abstract_inverted_index":{"This":[0,186],"paper":[1],"presents":[2],"an":[3],"innovative":[4],"deep":[5,144],"neural":[6],"network":[7],"algorithm":[8],"designed":[9],"to":[10,68],"improve":[11],"the":[12,31,37,44,54,89,101,114,119,130,142,149,162,191,194],"automatic":[13],"recognition":[14,166],"accuracy":[15,183],"of":[16,33,59,92,118,151,168,193,209],"epithelial":[17,123,173],"and":[18,43,56,71,116,124,170,174,184,206],"mesenchymal":[19,125,175],"tissues":[20],"in":[21,79,95,121,134,181],"breast":[22,60,152,210],"cancer":[23,61,153],"pathological":[24,62,154],"images.":[25],"The":[26,82,157],"key":[27,93],"innovation":[28],"centers":[29],"around":[30],"development":[32],"two":[34,138],"novel":[35],"algorithms:":[36],"Tissue":[38,83],"Enhancement":[39,84],"Vision":[40,85],"Fusion":[41,86],"technique":[42,87],"Comprehensive":[45,102],"Gray-Scale":[46,103],"Threshold":[47,104],"Intelligent":[48,105],"Judgment":[49,106],"method.":[50],"These":[51],"algorithms":[52,196],"optimize":[53],"analysis":[55],"diagnosis":[57,208],"process":[58],"images":[63,96],"by":[64],"introducing":[65],"new":[66],"approaches":[67],"feature":[69],"enhancement":[70],"quantitative":[72],"assessment":[73],"that":[74,161],"have":[75],"not":[76,188],"been":[77],"explored":[78],"existing":[80,179],"literature.":[81],"enhances":[88],"intuitive":[90],"observation":[91],"features":[94],"through":[97],"heatmap":[98],"generation,":[99],"while":[100],"method":[107],"quantitatively":[108],"assesses":[109],"image":[110,155],"characteristics,":[111],"thereby":[112],"enhancing":[113],"precision":[115],"efficiency":[117],"model":[120,132,164],"recognizing":[122],"tissues.":[126],"By":[127],"strategically":[128],"adjusting":[129],"EfficientNet":[131],"structure":[133],"conjunction":[135],"with":[136],"these":[137],"newly":[139],"proposed":[140,143,195],"algorithms,":[141],"learning":[145],"framework":[146],"significantly":[147],"improves":[148],"performance":[150],"processing.":[156],"experimental":[158],"results":[159],"demonstrate":[160],"enhanced":[163],"achieves":[165],"accuracies":[167],"0.8548":[169],"0.8125":[171],"for":[172,203],"tissues,":[176],"respectively,":[177],"outperforming":[178],"methods":[180],"both":[182],"efficiency.":[185],"breakthrough":[187],"only":[189],"validates":[190],"effectiveness":[192],"but":[197],"also":[198],"provides":[199],"robust":[200],"technical":[201],"support":[202],"early":[204],"detection":[205],"precise":[207],"cancer.":[211]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-22T00:00:00"}