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Imaging-Based Individualized Response Prediction Of Carbon Ion Radiotherapy For Prostate Cancer Patients.

Shuang Wu | Yining Jiao | Yafang Zhang | Xuhua Ren | Ping Li | Qi Yu | Qing Zhang | Qian Wang | Shen Fu
Cancer management and research | 2019

To explore the value of the pre-treatment MRI radiomic features in individualized prediction of the therapeutic response of carbon ion radiotherapy (CIRT) for prostate cancer patients.

Pubmed ID: 31695500

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SciPy (tool)

RRID:SCR_008058

A Python-based environment of open-source software for mathematics, science, and engineering. The core packages of SciPy include: NumPy, a base N-dimensional array package; SciPy Library, a fundamental library for scientific computing; and IPython, an enhanced interactive console.

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