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Classification of neurofibromatosis‐related dystrophic or nondystrophic scoliosis based on image features using Bilateral CNN
Medical Physics ( IF 3.2 ) Pub Date : 2021-01-12 , DOI: 10.1002/mp.14719
Zhong He 1 , Yimu Wang 2 , Xiaodong Qin 1 , Rui Yin 1 , Yong Qiu 1 , Kelei He 3, 4 , Zezhang Zhu 1
Affiliation  

We developed a system that can automatically classify cases of scoliosis secondary to neurofibromatosis type 1 (NF1‐S) using deep learning algorithms (DLAs) and improve the accuracy and effectiveness of classification, thereby assisting surgeons with the auxiliary diagnosis.

中文翻译:

使用双边CNN根据图像特征对与神经纤维瘤病相关的营养性或非营养性脊柱侧凸进行分类

我们开发了一种系统,该系统可以使用深度学习算法(DLA)对1型神经纤维瘤病(NF1-S)继发的脊柱侧弯病例进行自动分类,并提高分类的准确性和有效性,从而协助外科医生进行辅助诊断。
更新日期:2021-01-12
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