Correction to: Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

IF 2.4 3区医学 Q2 CLINICAL NEUROLOGY

Neuroradiology Pub Date : 2024-10-01 DOI:10.1007/s00234-024-03437-5

Guorong Wang, Bingbing Yang, Xiaoxia Qu, Jian Guo, Yongheng Luo, Xiaoquan Xu, Feiyun Wu, Xiaoxue Fan, Yang Hou, Song Tian, Sicong Huang, Junfang Xian

引用次数: 0

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更正为基于深度学习的自配置 nnU-net 在多序列 MRI 上对眼部附件淋巴瘤进行全自动分割和体积测量：一项多中心研究。

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来源期刊

Neuroradiology 医学-核医学

CiteScore

5.30

自引率

3.60%

发文量

214

审稿时长

4-8 weeks

期刊介绍： Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.