A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images

A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images

This paper presents a two-stage convolutional neural network (CNN) for automated detection of pulmonary embolisms (PEs) on CT pulmonary angiography (CTPA) images. The first stage utilizes a novel 3D candidate proposal network that detects a set of cubes containing suspected PEs from the entire 3D CT...

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Bibliographic Details
Main Authors: Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
pulmonary embolism detection
two-stage
Online Access:https://ieeexplore.ieee.org/document/8746218/

Internet

https://ieeexplore.ieee.org/document/8746218/

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