Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 567  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 

    Article Cited by others


And they said it couldn't be done: Predicting known driver mutations from H&E slides

Montalto Michael C, Edwards Robin

Year : 2019| Volume: 10| Issue : 1 | Page no: 17-17

   This article has been cited by
1 Molecular Pathology of Lung Cancer
James J. Saller, Theresa A. Boyle
Cold Spring Harbor Perspectives in Medicine. 2022; 12(3): a037812
[Pubmed]  [Google Scholar] [DOI]
2 The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
Brian R. Jackson, Ye Ye, James M. Crawford, Michael J. Becich, Somak Roy, Jeffrey R. Botkin, Monica E. de Baca, Liron Pantanowitz
Academic Pathology. 2021; 8: 2374289521
[Pubmed]  [Google Scholar] [DOI]
3 A deep learning model to predict RNA-Seq expression of tumours from whole slide images
Benoît Schmauch, Alberto Romagnoni, Elodie Pronier, Charlie Saillard, Pascale Maillé, Julien Calderaro, Aurélie Kamoun, Meriem Sefta, Sylvain Toldo, Mikhail Zaslavskiy, Thomas Clozel, Matahi Moarii, Pierre Courtiol, Gilles Wainrib
Nature Communications. 2020; 11(1)
[Pubmed]  [Google Scholar] [DOI]
4 Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology
Oliver C. Turner, Famke Aeffner, Dinesh S. Bangari, Wanda High, Brian Knight, Tom Forest, Brieuc Cossic, Lauren E. Himmel, Daniel G. Rudmann, Bhupinder Bawa, Anantharaman Muthuswamy, Olulanu H. Aina, Elijah F. Edmondson, Chandrassegar Saravanan, Danielle L. Brown, Tobias Sing, Manu M. Sebastian
Toxicologic Pathology. 2020; 48(2): 277
[Pubmed]  [Google Scholar] [DOI]


Read this article