Literature DB >> 27100343

New Trends of Emerging Technologies in Digital Pathology.

Gloria Bueno, M Milagro Fernández-Carrobles, Oscar Deniz, Marcial García-Rojo.   

Abstract

The future paradigm of pathology will be digital. Instead of conventional microscopy, a pathologist will perform a diagnosis through interacting with images on computer screens and performing quantitative analysis. The fourth generation of virtual slide telepathology systems, so-called virtual microscopy and whole-slide imaging (WSI), has allowed for the storage and fast dissemination of image data in pathology and other biomedical areas. These novel digital imaging modalities encompass high-resolution scanning of tissue slides and derived technologies, including automatic digitization and computational processing of whole microscopic slides. Moreover, automated image analysis with WSI can extract specific diagnostic features of diseases and quantify individual components of these features to support diagnoses and provide informative clinical measures of disease. Therefore, the challenge is to apply information technology and image analysis methods to exploit the new and emerging digital pathology technologies effectively in order to process and model all the data and information contained in WSI. The final objective is to support the complex workflow from specimen receipt to anatomic pathology report transmission, that is, to improve diagnosis both in terms of pathologists' efficiency and with new information. This article reviews the main concerns about and novel methods of digital pathology discussed at the latest workshop in the field carried out within the European project AIDPATH (Academia and Industry Collaboration for Digital Pathology).
© 2016 S. Karger AG, Basel.

Mesh:

Year:  2016        PMID: 27100343     DOI: 10.1159/000443482

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  16 in total

Review 1.  X-ray-Based 3D Virtual Histology-Adding the Next Dimension to Histological Analysis.

Authors:  J Albers; S Pacilé; M A Markus; M Wiart; G Vande Velde; G Tromba; C Dullin
Journal:  Mol Imaging Biol       Date:  2018-10       Impact factor: 3.488

2.  Multi-line fluorescence scanning microscope for multi-focal imaging with unlimited field of view.

Authors:  Leon van der Graaff; Geert J L H van Leenders; Fanny Boyaval; Sjoerd Stallinga
Journal:  Biomed Opt Express       Date:  2019-11-18       Impact factor: 3.732

3.  Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features.

Authors:  Germán Corredor; Jon Whitney; Viviana Arias; Anant Madabhushi; Eduardo Romero
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-11

4.  A low-cost pathological image digitalization method based on 5 times magnification scanning.

Authors:  Kai Sun; Yanhua Gao; Ting Xie; Xun Wang; Qingqing Yang; Le Chen; Kuansong Wang; Gang Yu
Journal:  Quant Imaging Med Surg       Date:  2022-05

5.  Accuracy of Digital Pathologic Analysis vs Traditional Microscopy in the Interpretation of Melanocytic Lesions.

Authors:  Tracy Onega; Raymond L Barnhill; Michael W Piepkorn; Gary M Longton; David E Elder; Martin A Weinstock; Stevan R Knezevich; Lisa M Reisch; Patricia A Carney; Heidi D Nelson; Andrea C Radick; Joann G Elmore
Journal:  JAMA Dermatol       Date:  2018-10-01       Impact factor: 10.282

Review 6.  Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.

Authors:  Kaustav Bera; Kurt A Schalper; David L Rimm; Vamsidhar Velcheti; Anant Madabhushi
Journal:  Nat Rev Clin Oncol       Date:  2019-08-09       Impact factor: 66.675

7.  Development of a Whole Slide Imaging System on Smartphones and Evaluation With Frozen Section Samples.

Authors:  Hong Yu; Feng Gao; Liren Jiang; Shuoxin Ma
Journal:  JMIR Mhealth Uhealth       Date:  2017-09-15       Impact factor: 4.773

8.  Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images.

Authors:  Olivier Simon; Rabi Yacoub; Sanjay Jain; John E Tomaszewski; Pinaki Sarder
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

9.  Turning Microscopy in the Medical Curriculum Digital: Experiences from The Faculty of Health and Medical Sciences at University of Copenhagen.

Authors:  Ben Vainer; Niels Werner Mortensen; Steen Seier Poulsen; Allan Have Sørensen; Jørgen Olsen; Hans Henrik Saxild; Flemming Fryd Johansen
Journal:  J Pathol Inform       Date:  2017-03-10

10.  Will Digital Pathology be as Disruptive as Genomics?

Authors:  Steven N Hart
Journal:  J Pathol Inform       Date:  2018-07-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.