Work

Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC

Year: 2016

Type: article

Study design: Observational Study

Source: Journal of Thoracic Oncology

DOI: 10.1016/j.jtho.2016.11.2226

Authors: Thibaud P. Coroller, Vishesh Agrawal, Elizabeth Huynh, Vivek Narayan, Stephanie W. Lee, Raymond H. Mak, Hugo J.W.L. Aerts

Institutions: Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: National Cancer Institute

Awards: Genotype and Imaging Phenotype Biomarkers in Lung Cancer, Quantitative Radiomics System Decoding the Tumor Phenotype

OpenAlex ID: W2552342083

FWCI: 11.03

Cites: 43

Cited by: 226

Related to: 10