Work

PV-0314 Machine learning helps identifying relations and confounding factors in radiomics-based models

Year: 2019

Type: conference-abstract

Source: Radiotherapy and Oncology

DOI: 10.1016/s0167-8140(19)30734-0

Authors: A. Traverso, M. Kazmierski, L. Wee, A. Dekker, M. Welch, A. Hosni, D. Jaffray, A. Hope

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: $2,000

OpenAlex ID: W2945908167

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