{"id":"https://openalex.org/W2310533432","doi":"https://doi.org/10.1117/12.2217158","title":"Lymphoma diagnosis in histopathology using a multi-stage visual learning approach","display_name":"Lymphoma diagnosis in histopathology using a multi-stage visual learning approach","publication_year":2016,"publication_date":"2016-03-23","ids":{"openalex":"https://openalex.org/W2310533432","doi":"https://doi.org/10.1117/12.2217158","mag":"2310533432"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217158","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217158","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5073027533","display_name":"Noel Codella","orcid":"https://orcid.org/0000-0001-6735-9067"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Noel Codella","raw_affiliation_strings":["IBM Thomas J. Watson Research Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Ctr. (United States)","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961008","display_name":"Mehdi Moradi","orcid":"https://orcid.org/0000-0001-6746-7180"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Moradi","raw_affiliation_strings":["IBM Research - Almaden (United States)"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden (United States)","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108559565","display_name":"M. Matasar","orcid":null},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Matasar","raw_affiliation_strings":["Memorial Sloan-Kettering Cancer Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"Memorial Sloan-Kettering Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059826555","display_name":"Tanveer Sveda-Mahmood","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanveer Sveda-Mahmood","raw_affiliation_strings":["IBM Research - Almaden (United States)"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden (United States)","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105523625","display_name":"John R. Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Smith","raw_affiliation_strings":["IBM Thomas J. Watson Research Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Ctr. (United States)","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073027533"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":5.7849,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96091371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9791","issue":null,"first_page":"97910H","last_page":"97910H"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9980999827384949,"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":0.9980999827384949,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11316","display_name":"Mycobacterium research and diagnosis","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7900044322013855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7649576663970947},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6096914410591125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5769677758216858},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5580654740333557},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.5332920551300049},{"id":"https://openalex.org/keywords/follicular-lymphoma","display_name":"Follicular lymphoma","score":0.5271177887916565},{"id":"https://openalex.org/keywords/mantle-cell-lymphoma","display_name":"Mantle cell lymphoma","score":0.4876369535923004},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.4554937779903412},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4395943880081177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4201009273529053},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41823044419288635},{"id":"https://openalex.org/keywords/lymphoma","display_name":"Lymphoma","score":0.36829522252082825},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.27763670682907104},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.1229449212551117},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10877072811126709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900044322013855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7649576663970947},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6096914410591125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5769677758216858},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5580654740333557},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.5332920551300049},{"id":"https://openalex.org/C2777058707","wikidata":"https://www.wikidata.org/wiki/Q123251","display_name":"Follicular lymphoma","level":3,"score":0.5271177887916565},{"id":"https://openalex.org/C2777525834","wikidata":"https://www.wikidata.org/wiki/Q268713","display_name":"Mantle cell lymphoma","level":3,"score":0.4876369535923004},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.4554937779903412},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4395943880081177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4201009273529053},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41823044419288635},{"id":"https://openalex.org/C2779338263","wikidata":"https://www.wikidata.org/wiki/Q208414","display_name":"Lymphoma","level":2,"score":0.36829522252082825},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.27763670682907104},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.1229449212551117},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10877072811126709}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2217158","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217158","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1967217515","https://openalex.org/W2106897864","https://openalex.org/W2111254256","https://openalex.org/W2132031490","https://openalex.org/W2132906427","https://openalex.org/W2140672423","https://openalex.org/W2147377972","https://openalex.org/W2155893237","https://openalex.org/W4205098750","https://openalex.org/W4251846076","https://openalex.org/W4299518610","https://openalex.org/W6641904779","https://openalex.org/W6675926535","https://openalex.org/W6680919413","https://openalex.org/W6681906127","https://openalex.org/W6682132143"],"related_works":["https://openalex.org/W2748273929","https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W2336974148","https://openalex.org/W3156786002","https://openalex.org/W4366492315","https://openalex.org/W2811121616","https://openalex.org/W2884034416"],"abstract_inverted_index":{"This":[0],"work":[1],"evaluates":[2],"the":[3,34,37,63,77,97,105,133,199],"performance":[4],"of":[5,27,62,84,104,132,153],"a":[6,82,142,149,167,192],"multi-stage":[7],"image":[8,43],"enhancement,":[9],"segmentation,":[10],"and":[11,19,22,45,73,185],"classification":[12],"approach":[13,163],"for":[14,53,123],"lymphoma":[15,176,183,188],"recognition":[16],"in":[17,195],"hematoxylin":[18],"eosin":[20],"(H":[21],"E)":[23],"stained":[24],"histopathology":[25],"slides":[26],"excised":[28],"human":[29],"lymph":[30],"node":[31],"tissue.":[32],"In":[33,114],"first":[35,98],"stage,":[36],"original":[38,64],"histology":[39],"slide":[40],"undergoes":[41],"various":[42],"enhancement":[44],"segmentation":[46],"operations,":[47],"creating":[48],"an":[49],"additional":[50],"5":[51],"images":[52,58,173],"every":[54],"slide.":[55,125],"These":[56],"new":[57],"emphasize":[59],"unique":[60],"aspects":[61],"slide,":[65],"including":[66],"dominant":[67],"staining,":[68],"staining":[69],"segmentations,":[70],"non-cellular":[71],"groupings,":[72],"cellular":[74],"groupings.":[75],"For":[76],"resulting":[78],"6":[79],"total":[80],"images,":[81],"collection":[83],"visual":[85,119],"features":[86,95],"are":[87,121,128,138],"extracted":[88,122],"from":[89,111],"3":[90,175],"different":[91],"spatial":[92],"configurations.":[93],"Visual":[94],"include":[96],"fully":[99],"connected":[100],"layer":[101],"(4096":[102],"dimensions)":[103],"Caffe":[106],"convolutional":[107],"neural":[108],"network":[109],"trained":[110,129],"ImageNet":[112],"data.":[113],"total,":[115],"over":[116,130,134,198],"200":[117,135],"resultant":[118],"descriptors":[120],"each":[124,131],"Non-linear":[126],"SVMs":[127],"descriptors,":[136],"which":[137],"then":[139],"input":[140],"to":[141],"forward":[143],"stepwise":[144],"ensemble":[145],"selection":[146],"that":[147],"optimizes":[148],"late":[150],"fusion":[151],"sum":[152],"logistically":[154],"normalized":[155],"model":[156],"outputs":[157],"using":[158],"local":[159],"hill":[160],"climbing.":[161],"The":[162],"is":[164],"evaluated":[165],"on":[166,202],"public":[168],"NIH":[169],"dataset":[170],"containing":[171],"374":[172],"representing":[174],"conditions:":[177],"chronic":[178],"lymphocytic":[179],"leukemia":[180],"(CLL),":[181],"follicular":[182],"(FL),":[184],"mantle":[186],"cell":[187],"(MCL).":[189],"Results":[190],"demonstrate":[191],"38.4%":[193],"reduction":[194],"residual":[196],"error":[197],"current":[200],"state-of-art":[201],"this":[203],"dataset.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
