Association of Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes on Standard Histologic Images With Outcomes of Immunotherapy in Patients With NSCLC
Year of publication
2023
Authors
Rakaee, Mehrdad; Adib, Elio; Ricciuti, Biagio; Sholl, Lynette M; Shi, Weiwei; Alessi, Joao V; Cortellini, Alessio; Fulgenzi, Claudia A M; Viola, Patrizia; Pinato, David J; Hashemi, Sayed; Bahce, Idris; Houda, Ilias; Ulas, Ezgi B; Radonic, Teodora; Väyrynen, Juha P; Richardsen, Elin; Jamaly, Simin; Andersen, Sigve; Donnem, Tom
Show moreOrganizations and authors
University of Oulu
Väyrynen Juha 
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal
Publisher
Issue
1
Pages
51-60
ISSN
Publication forum
Publication forum level
3
Open access
Open access in the publisher’s service
No
Open access of publication channel
Partially open publication channel
Self-archived
No
Other information
Fields of science
Cancers
Publication country
United States
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1001/jamaoncol.2022.4933
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes