Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy
(1) Background: Radiomics use high-throughput mining of medical imaging data to extract unique information and predict tumor behavior. Currently available clinical prediction models poorly predict treatment outcomes in pancreatic adenocarcinoma. Therefore, we used radiomic features of primary pancre...
Main Authors: | Elsa Parr, Qian Du, Chi Zhang, Chi Lin, Ahsan Kamal, Josiah McAlister, Xiaoying Liang, Kyle Bavitz, Gerard Rux, Michael Hollingsworth, Michael Baine, Dandan Zheng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/12/4/1051 |
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