Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation.

IF 4.7 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Radiology Pub Date : 2024-12-01 DOI:10.1007/s00330-024-10826-0

Montserrat Carles, Dejan Kuhn, Tobias Fechter, Dimos Baltas, Michael Mix, Ursula Nestle, Anca L Grosu, Luis Martí-Bonmatí, Gianluca Radicioni, Eleni Gkika

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更正：开发和评估两个开源 nnU-Net 模型，用于在有和没有呼吸运动补偿的 PET 和 CT 图像上自动分割肺部肿瘤。

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

European Radiology 医学-核医学

CiteScore

11.60

自引率

8.50%

发文量

874

审稿时长

2-4 weeks

期刊介绍： European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.