Literature DB >> 21477260

Digital pathology: current status and future perspectives.

Shaimaa Al-Janabi1, André Huisman, Paul J Van Diest.   

Abstract

During the last decade pathology has benefited from the rapid progress of image digitizing technology. The improvement in this technology had led to the creation of slide scanners which are able to produce whole slide images (WSI) which can be explored by image viewers in a way comparable to the conventional microscope. The file size of the WSI ranges from a few megabytes to several gigabytes, leading to challenges in the area of image storage and management when they will be used routinely in daily clinical practice. Digital slides are used in pathology for education, diagnostic purposes (clinicopathological meetings, consultations, revisions, slide panels and, increasingly, for upfront clinical diagnostics) and archiving. As an alternative to conventional slides, WSI are generally well accepted, especially in education, where they are available to a large number of students with the full possibilities of annotations without the problem of variation between serial sections. Image processing techniques can also be applied to WSI, providing pathologists with tools assisting in the diagnosis-making process. This paper will highlight the current status of digital pathology applications and its impact on the field of pathology.
© 2011 Blackwell Publishing Limited.

Mesh:

Year:  2011        PMID: 21477260     DOI: 10.1111/j.1365-2559.2011.03814.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  86 in total

1.  Toward routine use of 3D histopathology as a research tool.

Authors:  Nicholas Roberts; Derek Magee; Yi Song; Keeran Brabazon; Mike Shires; Doreen Crellin; Nicolas M Orsi; Richard Quirke; Philip Quirke; Darren Treanor
Journal:  Am J Pathol       Date:  2012-04-09       Impact factor: 4.307

2.  Evaluation environment for digital and analog pathology: a platform for validation studies.

Authors:  Brandon D Gallas; Marios A Gavrielides; Catherine M Conway; Adam Ivansky; Tyler C Keay; Wei-Chung Cheng; Jason Hipp; Stephen M Hewitt
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-12

3.  Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Authors:  Famke Aeffner; Hibret A Adissu; Michael C Boyle; Robert D Cardiff; Erik Hagendorn; Mark J Hoenerhoff; Robert Klopfleisch; Susan Newbigging; Dirk Schaudien; Oliver Turner; Kristin Wilson
Journal:  ILAR J       Date:  2018-12-01

4.  Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce.

Authors:  Yanhui Liang; Hoang Vo; Ablimit Aji; Jun Kong; Fusheng Wang
Journal:  Proc ACM SIGSPATIAL Int Conf Adv Inf       Date:  2016 Oct-Nov

5.  Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers.

Authors:  Ezgi Mercan; Linda G Shapiro; Tad T Brunyé; Donald L Weaver; Joann G Elmore
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

6.  Enterprise Implementation of Digital Pathology: Feasibility, Challenges, and Opportunities.

Authors:  D J Hartman; L Pantanowitz; J S McHugh; A L Piccoli; M J OLeary; G R Lauro
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

Review 7.  The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.

Authors:  Rashid L Bashshur; Elizabeth A Krupinski; Ronald S Weinstein; Matthew R Dunn; Noura Bashshur
Journal:  Telemed J E Health       Date:  2017-02-07       Impact factor: 3.536

8.  Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Authors:  Kun-Hsing Yu; Feiran Wang; Gerald J Berry; Christopher Ré; Russ B Altman; Michael Snyder; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

Review 9.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

Review 10.  Semiconductor quantum dots for bioimaging and biodiagnostic applications.

Authors:  Brad A Kairdolf; Andrew M Smith; Todd H Stokes; May D Wang; Andrew N Young; Shuming Nie
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2013-03-20       Impact factor: 10.745

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