{"id":"https://openalex.org/W2904854381","doi":"https://doi.org/10.1109/bibe.2018.00044","title":"[Regular Paper] MVPNets: Multi-viewing Path Deep Learning Neural Networks for Magnification Invariant Diagnosis in Breast Cancer","display_name":"[Regular Paper] MVPNets: Multi-viewing Path Deep Learning Neural Networks for Magnification Invariant Diagnosis in Breast Cancer","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904854381","doi":"https://doi.org/10.1109/bibe.2018.00044","mag":"2904854381"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2018.00044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2018.00044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5040371676","display_name":"Padmaja Jonnalagedda","orcid":"https://orcid.org/0000-0002-0128-6691"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Padmaja Jonnalagedda","raw_affiliation_strings":["Department of Electrical Engineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003378933","display_name":"Daniel Schmolze","orcid":"https://orcid.org/0000-0002-6947-2546"},"institutions":[{"id":"https://openalex.org/I4210110459","display_name":"City of Hope","ror":"https://ror.org/01z1vct10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1301076528","https://openalex.org/I4210110459"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Schmolze","raw_affiliation_strings":["Department of Pathology, City of Hope, Duarte, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, City of Hope, Duarte, CA, USA","institution_ids":["https://openalex.org/I4210110459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071522801","display_name":"Bir Bhanu","orcid":"https://orcid.org/0000-0001-8971-6416"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bir Bhanu","raw_affiliation_strings":["Department of Bioengineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040371676"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":1.1402,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84270658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9833999872207642,"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/magnification","display_name":"Magnification","score":0.946524441242218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7080276608467102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7029350996017456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.647113561630249},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5922369360923767},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.544868528842926},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.529426634311676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5184542536735535},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4163370430469513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042345881462097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3678136467933655},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.327311247587204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2087879776954651},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1744827926158905}],"concepts":[{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.946524441242218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7080276608467102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029350996017456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.647113561630249},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5922369360923767},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.544868528842926},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.529426634311676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5184542536735535},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4163370430469513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042345881462097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3678136467933655},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.327311247587204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2087879776954651},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1744827926158905},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2018.00044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2018.00044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1147193425","https://openalex.org/W1561585658","https://openalex.org/W1591008324","https://openalex.org/W1677182931","https://openalex.org/W1677573439","https://openalex.org/W1884191083","https://openalex.org/W2062177968","https://openalex.org/W2070394694","https://openalex.org/W2103243046","https://openalex.org/W2143093135","https://openalex.org/W2175543269","https://openalex.org/W2194775991","https://openalex.org/W2214821121","https://openalex.org/W2282915343","https://openalex.org/W2344480160","https://openalex.org/W2504150216","https://openalex.org/W2554892747","https://openalex.org/W2575678364","https://openalex.org/W2609584387","https://openalex.org/W2708846726","https://openalex.org/W2716665989","https://openalex.org/W2949608135","https://openalex.org/W6600893292","https://openalex.org/W6637304570","https://openalex.org/W6688760804","https://openalex.org/W6732549537","https://openalex.org/W6740537426","https://openalex.org/W6740617645"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3178390372","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,88],"diagnosis":[2,16,39],"requires":[3],"a":[4,44,51,104],"pathologist":[5],"to":[6,18,65,91,161,179],"analyze":[7],"the":[8,67,93,113,157,162,185],"histology":[9,89],"slides":[10],"under":[11],"various":[12,83],"magnifications.":[13],"An":[14],"automated":[15],"method":[17,167],"aid":[19],"pathologists":[20],"that":[21],"is":[22,63],"magnification":[23,59,84,171],"independent":[24,60,172],"will":[25],"significantly":[26,124],"save":[27],"time,":[28],"reduce":[29],"cost":[30],"and":[31,34,50,77,100,136,139,142,155],"mitigate":[32],"subjectivity":[33],"errors":[35],"in":[36,182],"current":[37],"histopathological":[38],"procedures.":[40],"This":[41],"paper":[42],"presents":[43],"deep":[45,131],"learning":[46,130],"network,":[47],"called":[48,56],"MVPNet":[49,62,122,160],"customized":[52],"data":[53,90],"augmentation":[54],"technique,":[55],"NuView,":[57],"for":[58,146],"diagnosis.":[61,148],"tailored":[64],"tackle":[66],"most":[68],"common":[69],"issues":[70],"(diversity,":[71],"relatively":[72],"small":[73],"size":[74],"of":[75,79,103,118,159,175],"datasets":[76],"manifestation":[78],"diagnostic":[80],"biomarkers":[81],"at":[82,115],"levels)":[85],"with":[86,133],"breast":[87],"perform":[92],"classification.":[94],"The":[95,166],"network":[96],"simultaneously":[97],"analyzes":[98],"local":[99,141],"global":[101,143],"features":[102,144],"given":[105],"tissue":[106,114],"image.":[107],"It":[108],"does":[109],"so":[110],"by":[111],"viewing":[112],"varying":[116],"levels":[117],"relative":[119],"nuclei":[120,153],"sizes.":[121],"has":[123],"less":[125],"parameters":[126],"than":[127],"standard":[128],"transfer":[129],"models":[132],"comparable":[134],"performance":[135],"it":[137],"combines":[138],"processes":[140],"simulatenously":[145],"effective":[147],"Additionally,":[149],"NuView":[150],"extracts":[151],"tumor":[152],"location":[154],"points":[156],"attention":[158],"informative":[163],"region":[164],"specifically.":[165],"gives":[168],"an":[169],"average":[170],"classification":[173],"accuracy":[174],"92.2%":[176],"as":[177],"compared":[178],"83%":[180],"reported":[181],"literature":[183],"on":[184],"BreaKHis":[186],"database.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}