Work

Radiomics to predict response to pembrolizumab in patients with advanced rare cancers.

Year: 2020

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2020.38.5_suppl.66

Authors: Rivka R. Colen, Sara Ahmed, Nabil Elshafeey, Daniel D. Karp, Shubham Pant, Vivek Subbiah, Sarina Anne Piha-Paul, David S. Hong, Timothy A Yap, Siqing Fu, Apostolia Maria Tsimberidou, Bettzy Stephen, Jing Gong, Jordi Rodon Ahnert, Aung Naing

Institution: The University of Texas MD Anderson 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: closed

OpenAlex ID: W3004619693

Cites:

Cited by: 2

Related to: 10