{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T16:19:35Z","timestamp":1781540375074,"version":"3.54.5"},"reference-count":34,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":1564,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/3.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Pathology Informatics"],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.4103\/jpi.jpi_56_18","type":"journal-article","created":{"date-parts":[[2018,12,24]],"date-time":"2018-12-24T02:34:31Z","timestamp":1545618871000},"page":"48","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"title":["Super-Resolution Digital Pathology Image Processing of Bone Marrow Aspirate and Cytology Smears and Tissue Sections"],"prefix":"10.1016","volume":"9","author":[{"given":"Amol","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert S.","family":"Ohgami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.4103\/jpi.jpi_56_18_bib1","series-title":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","first-page":"249","article-title":"Super-resolution in medical imaging: An illustrative approach through ultrasound","author":"Kouame","year":"2009"},{"key":"10.4103\/jpi.jpi_56_18_bib2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/MSP.2003.1203207","article-title":"Super-resolution image reconstruction: A technical overview","volume":"20","author":"Park","year":"2003","journal-title":"IEEE Signal Process Mag"},{"key":"10.4103\/jpi.jpi_56_18_bib3","first-page":"219","article-title":"A deep learning approach for cancer detection and relevant gene identification","volume":"22","author":"Danaee","year":"2017","journal-title":"Pac Symp Biocomput"},{"key":"10.4103\/jpi.jpi_56_18_bib4","article-title":"An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images","volume":"8","author":"Li","year":"2018","journal-title":"Sci Rep"},{"key":"10.4103\/jpi.jpi_56_18_bib5","doi-asserted-by":"crossref","DOI":"10.1038\/srep46450","article-title":"Accurate and reproducible invasive breast cancer detection in whole-slide images: A deep learning approach for quantifying tumor extent","volume":"7","author":"Cruz-Roa","year":"2017","journal-title":"Sci Rep"},{"key":"10.4103\/jpi.jpi_56_18_bib6","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1097\/01.MP.0000092952.21794.AD","article-title":"Comparison of pathologist-detected and automated computer-assisted image analysis detected sentinel lymph node micrometastases in breast cancer","volume":"16","author":"Weaver","year":"2003","journal-title":"Mod Pathol"},{"key":"10.4103\/jpi.jpi_56_18_bib7","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1364\/JOSA.54.000931","article-title":"Diffraction and resolving power","volume":"54","author":"Harris","year":"1964","journal-title":"J Opt Soc Am"},{"key":"10.4103\/jpi.jpi_56_18_bib8","series-title":"Advances in Computer Vision and Image Processing","first-page":"317","article-title":"Multipleframe image restoration and registration","volume":"Vol. 1","author":"Tsai","year":"1984"},{"key":"10.4103\/jpi.jpi_56_18_bib9","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1093\/comjnl\/bxm075","article-title":"Super-resolution in medical imaging","volume":"52","author":"Greenspan","year":"2009","journal-title":"Comput J"},{"key":"10.4103\/jpi.jpi_56_18_bib10","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.sigpro.2016.05.002","article-title":"Image super-resolution: The techniques, applications, and future","volume":"128","author":"Yue","year":"2016","journal-title":"Signal Process"},{"key":"10.4103\/jpi.jpi_56_18_bib11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1093\/comjnl\/bxm075","article-title":"Super-resolution in medical imaging","volume":"52","author":"Greenspan","year":"2008","journal-title":"Comput J"},{"key":"10.4103\/jpi.jpi_56_18_bib12","first-page":"26","article-title":"A study and evaluation of transform domain-based image fusion techniques for visual sensor networks","volume":"116","author":"Gupta","year":"2015","journal-title":"Int J Comput Appl"},{"key":"10.4103\/jpi.jpi_56_18_bib13","series-title":"Wiley Encyclopedia of Computer Science and Engineering","first-page":"2495","article-title":"Scale-space","author":"Lindeberg","year":"2008"},{"key":"10.4103\/jpi.jpi_56_18_bib14","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int J Comput Vis"},{"key":"10.4103\/jpi.jpi_56_18_bib15","author":"Lowe"},{"key":"10.4103\/jpi.jpi_56_18_bib16","author":"Karami"},{"key":"10.4103\/jpi.jpi_56_18_bib17","series-title":"Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis","first-page":"182","article-title":"Detecting planar homographies in an image pair","author":"Vincent","year":"2001"},{"key":"10.4103\/jpi.jpi_56_18_bib18","author":"Foley"},{"key":"10.4103\/jpi.jpi_56_18_bib19","author":"Jacques"},{"key":"10.4103\/jpi.jpi_56_18_bib20","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TSMCB.2012.2228639","article-title":"A generalized laplacian of gaussian filter for blob detection and its applications","volume":"43","author":"Kong","year":"2013","journal-title":"IEEE Trans Cybern"},{"key":"10.4103\/jpi.jpi_56_18_bib21","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans Image Process"},{"key":"10.4103\/jpi.jpi_56_18_bib22","first-page":"424","article-title":"An investigation on the quality of denoised images","volume":"5","author":"Ndajah","year":"2011","journal-title":"Int J Circuits Syst Signal Process"},{"key":"10.4103\/jpi.jpi_56_18_bib23","first-page":"2650","article-title":"A Brief Review of Different Image Fusion Algorithm","volume":"4","author":"Sharma","year":"2015","journal-title":"Int J Sci Res"},{"key":"10.4103\/jpi.jpi_56_18_bib24","doi-asserted-by":"crossref","first-page":"2559","DOI":"10.4304\/jcp.6.12.2559-2566","article-title":"A multi-focus image fusion method based on Laplacian pyramid","volume":"6","author":"Wang","year":"2011","journal-title":"J Comput"},{"key":"10.4103\/jpi.jpi_56_18_bib25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.14445\/23488379\/IJEEE-V1I1P101","article-title":"Quality assesment of gray and color images through image fusion technique 1","volume":"1","author":"Sharma","year":"2014","journal-title":"IJEEE"},{"key":"10.4103\/jpi.jpi_56_18_bib26","author":"Shannon"},{"key":"10.4103\/jpi.jpi_56_18_bib27","series-title":"2016 International Conference System Modeling&Advancement in Research Trends (SMART)","first-page":"63","article-title":"Blur image detection using Laplacian operator and Open-CV","author":"Bansal","year":"2016"},{"key":"10.4103\/jpi.jpi_56_18_bib28","series-title":"1993 (4th) International Conference on Computer Vision","first-page":"173","article-title":"Enhanced image capture through fusion","author":"Burt","year":"1993"},{"key":"10.4103\/jpi.jpi_56_18_bib29","author":"Method for Fusing Images and Apparatus Therefor"},{"key":"10.4103\/jpi.jpi_56_18_bib30","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1111\/cyt.12552","article-title":"Digital vs. traditional: Are diagnostic accuracy rates similar for glass slides vs. whole slide images in a non-gynaecological external quality assurance setting?","volume":"29","author":"Ross","year":"2018","journal-title":"Cytopathology"},{"key":"10.4103\/jpi.jpi_56_18_bib31","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1002\/cncy.21880","article-title":"Comparison of glass slides and various digital-slide modalities for cytopathology screening and interpretation","volume":"125","author":"Hanna","year":"2017","journal-title":"Cancer Cytopathol"},{"key":"10.4103\/jpi.jpi_56_18_bib32","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1111\/j.1365-2303.2010.00758.x","article-title":"Accuracy and perceptions of virtual microscopy compared with glass slide microscopy in cervical cytology","volume":"22","author":"Evered","year":"2011","journal-title":"Cytopathology"},{"key":"10.4103\/jpi.jpi_56_18_bib33","doi-asserted-by":"crossref","first-page":"38","DOI":"10.4103\/2153-3539.124015","article-title":"Optimal z-axis scanning parameters for gynecologic cytology specimens","volume":"4","author":"Donnelly","year":"2013","journal-title":"J Pathol Inform"},{"key":"10.4103\/jpi.jpi_56_18_bib34","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.media.2016.06.037","article-title":"Image analysis and machine learning in digital pathology: Challenges and opportunities","volume":"33","author":"Madabhushi","year":"2016","journal-title":"Med Image Anal"}],"container-title":["Journal of Pathology Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2153353922003613?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2153353922003613?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T00:46:18Z","timestamp":1761871578000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2153353922003613"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":34,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["S2153353922003613"],"URL":"https:\/\/doi.org\/10.4103\/jpi.jpi_56_18","relation":{},"ISSN":["2153-3539"],"issn-type":[{"value":"2153-3539","type":"print"}],"subject":[],"published":{"date-parts":[[2018,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Super-Resolution Digital Pathology Image Processing of Bone Marrow Aspirate and Cytology Smears and Tissue Sections","name":"articletitle","label":"Article Title"},{"value":"Journal of Pathology Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.4103\/jpi.jpi_56_18","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 THE AUTHORS. Published by Elsevier Inc on behalf of the Association for Pathology Informatics","name":"copyright","label":"Copyright"}],"article-number":"48"}}