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