Work

PO-0991: Serial tumor radiomic features predict response of head and neck cancer treated with Radiotherapy

Year: 2018

Type: conference-abstract

Source: Radiotherapy and Oncology

DOI: 10.1016/s0167-8140(18)31301-x

Authors: H.E. Elhalawani, A.S.R. Mohamed, S. Volpe, P. Yang, S. Campbell, R. Granberry, R. Ger, X. Fave, L. Zhang, G.E. Marai, D. Vock, G.M. Canahuate, D. Mackin, L. Court, G.B. Gunn, A. Rao, C.D. Fuller

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: hybrid

Estimated APC paid: $3,770

OpenAlex ID: W2808988067

Cites:

Cited by: 2

Related to: 10