A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this paper, we propose a novel deep convolutional neural network (CNN) model, called n-ClsNet, for thyroid nodule classification. Our model consists of...

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Bibliographic Details
Main Authors: Luoyan Wang, Xiaogen Zhou, Xingqing Nie, Xingtao Lin, Jing Li, Haonan Zheng, Ensheng Xue, Shun Chen, Cong Chen, Min Du, Tong Tong, Qinquan Gao, Meijuan Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neuroscience
Subjects:
the thyroid nodule classification
multi-scale
densely connection
hybrid atrous convolution
deep convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.878718/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.878718/full

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