Comparing Artificial Intelligence Platforms for Histopathologic Cancer Diagnosis
- PMID: 31768096
- PMCID: PMC6837334
Comparing Artificial Intelligence Platforms for Histopathologic Cancer Diagnosis
Abstract
Two machine learning platforms were successfully used to provide diagnostic guidance in the differentiation between common cancer conditions in veteran populations.
Copyright © 2019 Frontline Medical Communications Inc., Parsippany, NJ, USA.
Conflict of interest statement
Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.
Figures




References
-
- Moor J. The Dartmouth College artificial intelligence conference: the next fifty years. AI Mag. 2006;27(4):87–91.
-
- Trump D. Accelerating America’s leadership in artificial intelligence. [Accessed September 4, 2019]. https://www.whitehouse.gov/articles/accelerating-americas-leadership-in-.... Published February 11, 2019.
-
- Samuel AL. Some studies in machine learning using the game of checkers. IBM J Res Dev. 1959;3(3):210–229.
-
- SAS Users Group International. Neural networks and statistical models. In: Sarle WS, editor. Proceedings of the Nineteenth Annual SAS Users Group International Conference. SAS Institute; Cary, North Carolina: 1994. [Accessed September 16, 2019]. pp. 1538–1550. http://www.sascommunity.org/sugi/SUGI94/Sugi-94-255%20Sarle.pdf.
-
- Schmidhuber J. Deep learning in neural networks: an overview. Neural Networks. 2015;61:85–117. - PubMed
LinkOut - more resources
Full Text Sources