Work

Effect Of Interobserver And Interdisciplinary Segmentation Variability On Radiomic Features For Pancreatic Cancer

Year: 2020

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2020.07.215

Authors: J.Y. Wong, C. Lin, M. Baine, N.R. Bennion, L. Yu, D. Zheng, D. Vipin, M.A. Hollingsworth, S.M. Zhou, D. Zheng

Institutions: Creighton University, University of Nebraska Medical 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

OpenAlex ID: W3093839554

FWCI:

Cites:

Cited by: 1

Related to: 10