Using a Noisy U-Net for Detecting Lung Nodule Candidates

Using a Noisy U-Net for Detecting Lung Nodule Candidates

Chest computed tomography is an important method for detecting lung cancer. Because early lung cancer nodules are small, making them difficult to detect, the current automatic lung cancer detection system can easily lead to missed diagnosis when detecting these nodules; therefore, accurate detection...

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Bibliographic Details
Main Authors: Wenkai Huang, Lingkai Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Lung cancer
computed tomography
lung nodule candidates
computer-aided diagnosis
neural networks
Online Access:https://ieeexplore.ieee.org/document/8719896/

Internet

https://ieeexplore.ieee.org/document/8719896/

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