Convolutional Neural Network for Breast and Thyroid Nodules Diagnosis in Ultrasound Imaging.

Journal: BioMed research international
Published Date:

Abstract

OBJECTIVE: The incidence of superficial organ diseases has increased rapidly in recent years. New methods such as computer-aided diagnosis (CAD) are widely used to improve diagnostic efficiency. Convolutional neural networks (CNNs) are one of the most popular methods, and further improvements of CNNs should be considered. This paper aims to develop a multiorgan CAD system based on CNNs for classifying both thyroid and breast nodules and investigate the impact of this system on the diagnostic efficiency of different preprocessing approaches.

Authors

  • Xiaowen Liang
  • Jinsui Yu
    Department of Ultrasound Medicine, The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510000 Guangdong, China.
  • Jianyi Liao
    Department of Ultrasound Medicine, The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510000 Guangdong, China.
  • Zhiyi Chen
    School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, Zhejiang Province, China.