CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: The morbidity of pulmonary embolism (PE) is only lower than that of coronary heart disease and hypertension. Early detection, early diagnosis, and timely treatment are the keys to effectively reduce the risk of death. Nevertheless, PE segmentation is still a challenging task at present. The automatic segmentation of PE is particularly important. On the one hand, manual segmentation of PE from a computed tomography (CT) sequence is very time-consuming and prone to misdiagnose. On the other hand, an accurate contour of the location, volume, and shape of PE can help radiotherapists carry out targeted treatment and thus greatly increase the survival rate of patients. Therefore, developing an automatic and efficient PE segmentation approach is an urgent demand in clinical diagnosis.

Authors

  • Zhenhong Liu
    School of Artificial Intelligence, Beijing Normal University, Beijing, China.
  • Hongfang Yuan
    Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China.
  • Huaqing Wang
    School of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chao Yang District, Beijing 100029, China. wanghq_buct@hotmail.com.