Publication: 3978

Publication: 3978

Pathological Analysis of Tumor Microenvironmental Features using Deep Learning to Predict Survival of Colon Carcinomas (Alliance)

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Citation:: J Clin Oncol vol 41 (suppl 16) 3527

Meeting Instance:: ASCO 2023
Year:: 2023
Type:: Abstract
Sub type:: Poster General
Funding:: NCTN
Endpoint:: Secondary-not-in-original
Analysis:: Primary
Data Sharing:: No-Data-Sharing
Status:: Presented/Published
Citation Status:: epreprint

Note:

Methodological:: No
Biospecimen:: Yes
SDC:: Yes

Parents:: None
Children:: 4142

Program:: OGC
Primary Committee:: GI
Sec. Committees:

Pharmas:
Grants:: U10CA180821, U10CA180882, U24CA196171, R01 CA210509

Corr. Author:
Authors:: Frank A. Sinicrope Garth Nelson Bahar Saberzadeh-Ardestani Sara McMahon Dongyao Yan Kandavel Shanmugam Steven R. Alberts Qian Shi Rish K. Pai Diana Segovia

Networks:: LAPS-MN026

Study: NCCTG-N0147
Multiple Studies, or Legacy Studies in Alliance Study:
Phases:: 3

Keywords:: Artificial Intelligence; Tumor Microenvironment; Colonic Neoplasms; Disease-free survival.