Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network

Author:

Zhao Xiaohui1ORCID,Shen Xueqin2,Wan Wenbo3,Lu Yuanyuan4,Hu Shidong1,Xiao Ruoxiu5ORCID,Du Xiaohui1,Li Junlai4

Affiliation:

1. Department of General Surgery, First Medical Center of Chinese PLA General Hospital, Beijing, China

2. Department of Health Medicine, Second Medical Center of Chinese PLA General Hospital, Beijing, China

3. Department of Ultrasound, First Medical Center of Chinese PLA General Hospital, Beijing, China

4. Department of Ultrasound, Second Medical Center of Chinese PLA General Hospital, Beijing, China

5. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference31 articles.

1. K-nearest neighbor classification method for class-imbalanced problem;guo;J Comput Appl,2018

2. Robust median estimator in logistic regression

3. Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features;sun;Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP),2017

4. Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images

5. An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images

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