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Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network

机译：深度卷积神经网络诊断超声波上的甲状腺结节

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Jieun Koh; Eunjung Lee; Kyunghwa Han; Eun-Kyung Kim; Eun Ju Son; Yu-Mee Sohn; Mirinae Seo; Mi-ri Kwon; Jung Hyun Yoon; Jin Hwa Lee; Young Mi Park; Sungwon Kim; Jung Hee Shin; Jin Young Kwak;
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1. Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network [J] . Jieun Koh, Eunjung Lee, Kyunghwa Han, Scientific reports. . 2020,第1期

机译：深度卷积神经网络诊断超声波上的甲状腺结节
2. Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network [J] . Moussa Olfa, Khachnaoui Hajer, Guetari Ramzi, International journal of imaging systems and technology . 2020,第1期

机译：微调深度卷积神经网络在超声图像中甲状腺结节的分类和诊断
3. Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound [J] . Ko Su Yeon, Lee Ji Hye, Yoon Jung Hyun, Head and neck: Journal for the sciences and specialities of the head and neck . 2019,第4期

机译：深度卷积神经网络，用于超声诊断甲状腺结节
4. Computer-Aided Diagnosis of Thyroid Nodule from Ultrasound Images Using Transfer Learning from Deep Convolutional Neural Network Models [C] . O A Ajilisa, V P Jagathyraj, M K Sabu Conference on Advanced Computing and Communication Technologies for High Performance Applications . 2020

机译：使用深度卷积神经网络模型的转移学习从超声图像中对甲状腺结节进行计算机辅助诊断
5. Lung Nodule Classification Using Convolutional Neural Networks [D] . Wei, Qiushi. 2019

机译：肺结结使用卷积神经网络分类
6. An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images [O] . Jialin Zhu, Sheng Zhang, Ruiguo Yu, 2021

机译：高效深度卷积神经网络模型可视化本地化及自动诊断超声图像上的甲状腺结节
7. Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning [O] . Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, 2018

机译：计算机辅助诊断良性结节，原发性肺癌和转移肺癌在不同图像大小与转移学习的不同图像尺寸

Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network

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