Back to Search Start Over

Value of Public Challenges for the Development of Pathology Deep Learning Algorithms

Authors :
Hartman, D.J.
Laak, J.A.W.M. van der
Gurcan, M.N.
Pantanowitz, L.
Hartman, D.J.
Laak, J.A.W.M. van der
Gurcan, M.N.
Pantanowitz, L.
Source :
Journal of Pathology Informatics; 2153-3539; vol. 11; 7; ~Journal of Pathology Informatics~~~~~2153-3539~~11~~7
Publication Year :
2020

Abstract

Contains fulltext : 220738.pdf (publisher's version ) (Open Access)<br />The introduction of digital pathology is changing the practice of diagnostic anatomic pathology. Digital pathology offers numerous advantages over using a physical slide on a physical microscope, including more discriminative tools to render a more precise diagnostic report. The development of these tools is being facilitated by public challenges related to specific diagnostic tasks within anatomic pathology. To date, 24 public challenges related to pathology tasks have been published. This article discusses these public challenges and briefly reviews the underlying characteristics of public challenges and why they are helpful to the development of digital tools.

Details

Database :
OAIster
Journal :
Journal of Pathology Informatics; 2153-3539; vol. 11; 7; ~Journal of Pathology Informatics~~~~~2153-3539~~11~~7
Publication Type :
Electronic Resource
Accession number :
edsoai.on1284097942
Document Type :
Electronic Resource