A machine-learning approach based on 409 treatments to predict optimal number of iodine-125 seeds in low-dose-rate prostate brachytherapy-Reference-Cited by-同舟云学术

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A machine-learning approach based on 409 treatments to predict optimal number of iodine-125 seeds in low-dose-rate prostate brachytherapy

Published:2021 Issue:5 Volume:13 Page:541-548
ISSN:1689-832X
Container-title:Journal of Contemporary Brachytherapy
language:
Short-container-title:jcb

Author:

Boussion Nicolas,Schick Ulrike,Dissaux Gurvan,Ollivier Luc,Goasduff Gaëlle,Pradier Olivier,Valeri Antoine,Visvikis Dimitris

Publisher

Termedia Sp. z.o.o.

Subject

Radiology, Nuclear Medicine and imaging,Oncology

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Significant Risk Medical Devices – Gastroenterology and Urology;Significant and Nonsignificant Risk Medical Devices;2024

2. Artificial intelligence applications in brachytherapy: A literature review;Brachytherapy;2023-07

3. Control charts for evaluation of quality of low-dose-rate brachytherapy for prostate cancer;Journal of Contemporary Brachytherapy;2022

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