Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: It is very important for calculation of clinical indices and diagnosis to detect thyroid nodules from ultrasound images. However, this task is a challenge mainly due to heterogeneous thyroid nodules with distinct components are similar to background in ultrasound images. In this study, we employ cascade deep convolutional neural networks (CNNs) to develop and evaluate a fully automatic detection of thyroid nodules from 2D ultrasound images.

Authors

  • Jinlian Ma
    School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.
  • Fa Wu
    School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.
  • Tian'an Jiang
    Department of Ultrasound, First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China.
  • Jiang Zhu
    Department of Ophthalmology, Suqian First Hospital, Suqian, China.
  • Dexing Kong
    School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China. Electronic address: dkong@zju.edu.cn.