Correction: “Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography” DOI: https://doi.org/10.1002/mp.16554

IF 3.2 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Medical physics Pub Date : 2024-07-30 DOI:10.1002/mp.17332

Jeeone Park, Jihoon Kweon, Young In Kim, Inwook Back, Jihye Chae, Jae-Hyung Roh, Do-Yoon Kang, Pil Hyung Lee, Jung-Min Ahn, Soo-Jin Kang, Duk-Woo Park, Seung-Whan Lee, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park, Young-Hak Kim

引用次数: 0

Abstract

Research approval was granted by the Institutional Review Board of Asan Medical Center (IRB No. 2021-0302) and Chungnam National University Hospital (IRB No. 2021-07-011).

The IRB number of two institutes were added as requested.

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更正："有创冠状动脉造影中主要血管深度学习分割的选择性集合方法" DOI: https://doi.org/10.1002/mp.16554

研究获得了牙山医疗中心（IRB 编号：2021-0302）和忠南大学医院（IRB 编号：2021-07-011）机构审查委员会的批准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Medical physics 医学-核医学

CiteScore

6.80

自引率

15.80%

发文量

660

审稿时长

1.7 months

期刊介绍： Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.