Lung Nodule Detection via Deep Reinforcement Learning
Lung cancer is the most common cause of cancer-related death globally. As a preventive measure, the United States Preventive Services Task Force (USPSTF) recommends annual screening of high risk individuals with low-dose computed tomography (CT). The resulting volume of CT scans from millions of peo...
Main Authors: | Issa Ali, Gregory R. Hart, Gowthaman Gunabushanam, Ying Liang, Wazir Muhammad, Bradley Nartowt, Michael Kane, Xiaomei Ma, Jun Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-04-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fonc.2018.00108/full |
Similar Items
-
Using a Noisy U-Net for Detecting Lung Nodule Candidates
by: Wenkai Huang, et al.
Published: (2019-01-01) -
Lung nodules: A comprehensive review on current approach and management
by: Konstantinos Loverdos, et al.
Published: (2019-01-01) -
Lung Nodule Detection in CT Images Using Statistical and Shape-Based Features
by: Noor Khehrah, et al.
Published: (2020-02-01) -
A COMPREHENSIVE FRAMEWORK FOR AUTOMATIC DETECTION OF PULMONARY NODULES IN LUNG CT IMAGES
by: Mehdi Alilou, et al.
Published: (2014-03-01) -
An Architecture for Computer-Aided Detection and Radiologic Measurement of Lung Nodules in Clinical Trials
by: Denise R. Aberle, et al.
Published: (2007-01-01)