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A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.

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Title: A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.
Authors: Kwon, Rosie1 (AUTHOR), Kim, Hannah2 (AUTHOR), Ahn, Keun Soo3,4 (AUTHOR) ahnks@dsmc.or.kr, Song, Bong-Il1,4,5 (AUTHOR) ahnks@dsmc.or.kr, Lee, Jinny1 (AUTHOR), Kim, Hae Won1,4,5 (AUTHOR), Won, Kyoung Sook1 (AUTHOR), Lee, Hye Won6 (AUTHOR), Kim, Tae-Seok3 (AUTHOR), Kim, Yonghoon3 (AUTHOR), Kang, Koo Jeong3 (AUTHOR)
Source: Diagnostics (2075-4418). Oct2024, Vol. 14 Issue 19, p2245. 14p.
Database: Academic Search Ultimate
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        Value: 10.3390/diagnostics14192245
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        Text: English
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      – TitleFull: A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.
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            – D: 01
              M: 10
              Text: Oct2024
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