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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 M; Adib E; Ricciuti B; Sholl LM; Shi W; Alessi JV; Cortellini A; Fulgenzi CA; Viola P; Pinato DJ; Hashemi S; Bahce I; Houda I; Ulas EB; Radonic T; Väyrynen JP; Richardsen E; Jamaly S; Andersen S; Donnem T; et al

Organizations and authors

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Volume

9

Issue

1

Pages

51-60

​Publication forum

84514

​Publication forum level

3

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Cancers

Internationality of the publisher

International

International co-publication

Yes

Co-publication with a company

No

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes