{"id":"https://openalex.org/W2717357949","doi":"https://doi.org/10.1109/isbi.2017.7950694","title":"Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images","display_name":"Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2717357949","doi":"https://doi.org/10.1109/isbi.2017.7950694","mag":"2717357949"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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/A5036968205","display_name":"Tzu\u2010Hsi Song","orcid":"https://orcid.org/0000-0002-3670-8970"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tzu-Hsi Song","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041778968","display_name":"Hesham Eldaly","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156194","display_name":"Addenbrooke's Hospital","ror":"https://ror.org/055vbxf86","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2802466933","https://openalex.org/I4210156194"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hesham ElDaly","raw_affiliation_strings":["Haematology Oncology Diagnostic Service, Addenbrookes Hosp., Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Haematology Oncology Diagnostic Service, Addenbrookes Hosp., Cambridge, UK","institution_ids":["https://openalex.org/I4210156194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069179055","display_name":"Nasir Rajpoot","orcid":"https://orcid.org/0000-0002-4706-1308"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nasir M. Rajpoot","raw_affiliation_strings":["Department of Computer Science, University of Warwick, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036968205"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":1.0923,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.86121485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1040","last_page":"1043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9991000294685364,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9229999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8490724563598633},{"id":"https://openalex.org/keywords/trephine","display_name":"Trephine","score":0.6964504718780518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6783381700515747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6045028567314148},{"id":"https://openalex.org/keywords/bone-marrow","display_name":"Bone marrow","score":0.5469569563865662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5239210724830627},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5189840197563171},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.486001580953598},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45453670620918274},{"id":"https://openalex.org/keywords/gaussian-curvature","display_name":"Gaussian curvature","score":0.42196977138519287},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.421633243560791},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.38115930557250977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36439359188079834},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.31577616930007935},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17296954989433289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12204599380493164}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8490724563598633},{"id":"https://openalex.org/C2776232749","wikidata":"https://www.wikidata.org/wiki/Q1796877","display_name":"Trephine","level":2,"score":0.6964504718780518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6783381700515747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6045028567314148},{"id":"https://openalex.org/C2780007613","wikidata":"https://www.wikidata.org/wiki/Q546523","display_name":"Bone marrow","level":2,"score":0.5469569563865662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5239210724830627},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5189840197563171},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.486001580953598},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45453670620918274},{"id":"https://openalex.org/C16140857","wikidata":"https://www.wikidata.org/wiki/Q945953","display_name":"Gaussian curvature","level":3,"score":0.42196977138519287},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.421633243560791},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.38115930557250977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36439359188079834},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.31577616930007935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17296954989433289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12204599380493164},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2008970948","https://openalex.org/W2051765910","https://openalex.org/W2057114171","https://openalex.org/W2064280190","https://openalex.org/W2076063813","https://openalex.org/W2141694668","https://openalex.org/W2181347294","https://openalex.org/W2248620004","https://openalex.org/W2294957811","https://openalex.org/W2312404985","https://openalex.org/W2344138609","https://openalex.org/W2963644868","https://openalex.org/W6637970017","https://openalex.org/W6685777803"],"related_works":["https://openalex.org/W3215570221","https://openalex.org/W4308065694","https://openalex.org/W4295655570","https://openalex.org/W4226297850","https://openalex.org/W2751157526","https://openalex.org/W2350536225","https://openalex.org/W73664651","https://openalex.org/W4321101434","https://openalex.org/W3171720365","https://openalex.org/W2093113703"],"abstract_inverted_index":{"Automated":[0],"cell":[1,19,44,94],"detection":[2,20,95,116],"is":[3,21,107],"a":[4,8,76],"critical":[5],"step":[6],"for":[7,86],"number":[9],"of":[10,42,103],"computer-assisted":[11],"pathology":[12],"related":[13,97],"image":[14],"analysis":[15],"algorithm.":[16],"However,":[17],"automated":[18,43],"complicated":[22],"due":[23],"to":[24,37,57,109],"the":[25,40],"variable":[26],"cytomorphological":[27],"and":[28,52,74,88,114],"histological":[29],"factors":[30],"associated":[31],"with":[32,82],"each":[33],"cell.":[34],"In":[35,63],"order":[36],"efficiently":[38],"resolve":[39],"challenge":[41],"detection,":[45],"deep":[46,78],"learning":[47],"strategies":[48],"are":[49],"widely":[50],"applied":[51],"have":[53],"recently":[54],"been":[55],"shown":[56],"be":[58],"successful":[59],"in":[60],"histopathological":[61],"images.":[62],"this":[64],"paper,":[65],"we":[66],"concentrate":[67],"on":[68],"bone":[69,90],"marrow":[70,91],"trephine":[71],"biopsy":[72],"images":[73],"propose":[75],"hybrid":[77],"autoencoder":[79],"(HDA)":[80],"network":[81],"Curvature":[83],"Gaussian":[84],"model":[85],"efficient":[87],"precise":[89],"hematopoietic":[92],"stem":[93],"via":[96],"high-level":[98],"feature":[99],"correspondence.":[100],"The":[101],"accuracy":[102],"our":[104],"proposed":[105],"method":[106],"up":[108],"94%,":[110],"outperforming":[111],"other":[112],"supervised":[113],"unsupervised":[115],"approaches.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}