
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions …
This paper proposes a network Tnc-Net for thyroid nodule classification. The network backbone can adapt to the problem of small data volume, capture global features with the help of simple …
西华师范大学:Tnc-Net:使用卷积神经网络对甲状腺结节病变进 …
2024年1月1日 · 本研究提出了一种名为Tnc-Net的网络,专门用于甲状腺结节的分类。 该网络的核心能够适应小数据量的问题,借助简单的通道注意力机制捕捉全局特征 智能科学信息平台
Windows PowerShell 使用 Test-NetConnection 测试网络连接
2022年6月27日 · Test-NetConnection 可简写为TNC、tnc。 PS C:\> Get-Alias tnc CommandType Name
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions …
2024年1月1日 · This paper proposes a network Tnc-Net for thyroid nodule classification. The network backbone can adapt to the problem of small data volume, capture g lobal features
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions …
*The material contained in this document is based upon work supported by a National Aeronautics and Space Administration (NASA) grant or cooperative agreement.
"Tnc-Net: Automatic Classification for Thyroid Nodules Lesions …
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions Using Convolutional Neural Network. IEEE Access 12: 84567-84578 (2024)
TNC FINE EXPERIENCE DESIGN | TNC NETWORK
TNC Fine Experience Design is an agency specializing in advanced experience design, interactive entertainment and emerging communication technologies. It designs and produces …
Tnc-Net: Automatic classification for thyroid nodules lesions using ...
2024年12月16日 · Tnc-Net: Automatic classification for thyroid nodules lesions using convolutional neural network . Tnc-Net:基于卷积神经网络的甲状腺结节病变自动分类 ...
Classification for thyroid nodule using ViT with contrastive learning ...
2022年12月1日 · A network Tnc-Net for thyroid nodule classification is proposed, which exceeds other classic deep learning models in classification and training strategies suitable for this …
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions …
Tnc-Net: Automatic Classification for Thyroid Nodules Lesions Using Convolutional Neural Network Junyang Cao , Yangping Zhu , Xing Tian , Juan Wang . IEEE Access , 12: 84567 …