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Re: machine learning 'red dot': open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification

机译：RE：机器学习“红点”：开源，云，深卷积神经网络在胸部X线射线二进制正常数分类

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来源
《Clinical Radiology: Journal of the Royal College of Radiologists》 |2019年第2期|共1页
作者
Halligan S.; Plumb A. A. O.;
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作者单位

UCL Ctr Med Imaging London England;

UCL Ctr Med Imaging London England;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
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1. Re: machine learning "red dot": open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification [J] . Halligan S., Plumb A. A. O. Clinical Radiology: Journal of the Royal College of Radiologists . 2019,第2期

机译：RE：机器学习“红点”：开源，云，深卷积神经网络在胸部X线射线二进制正常数分类
2. Re: machine learning "red dot": open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification. Editor's reply [J] . Weston Mike Clinical Radiology: Journal of the Royal College of Radiologists . 2019,第2期

机译：RE：机器学习“红点”：开源，云，深卷积神经网络在胸部射线照片二进制正常数分类。编者的回复
3. Machine learning "red dot": open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification [J] . Yates E. J., Yates L. C., Harvey H. Clinical Radiology: Journal of the Royal College of Radiologists . 2018,第9期

机译：机器学习“红点”：开源，云，深卷积神经网络在胸部射线照片二进制正常分类
4. Automatic Mass Classification in Breast Using Transfer Learning of Deep Convolutional Neural Network and Support Vector Machine [C] . Md. Kamrul Hasan, Tajwar Abrar Aleef, Shidhartho Roy IEEE Region 10 Symposium . 2020

机译：利用深度卷积神经网络和支持向量机的转移学习进行乳房自动分类
5. Programmable Manycore Accelerator for Machine Learning, Convolution Neural Network and Binary Neural Network [D] . Kulkarni, Adwaya Amey. 2017

机译：面向机器学习，卷积神经网络和二进制神经网络的可编程Manycore加速器
6. Automated abnormality classification of chest radiographs using deep convolutional neural networks [O] . Yu-Xing Tang, You-Bao Tang, Yifan Peng, 2020

机译：使用深度卷积神经网络对胸部X光片进行自动异常分类
7. Peer Review #1 of "Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs (v0.1)" [O] . Y Seif 2020

机译：同行评论“深度学习卷积神经网络与转移学习准确地分类了Covid-19肺部感染在便携式胸部射线照片（V0.1）”中的“深度学习卷积神经网络”

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