2D CNN versus 3D CNN for false-positive reduction in lung cancer screening

Purpose: To clarify whether and to what extent three-dimensional (3D) convolutional neural network (CNN) is superior to 2D CNN when applied to reduce false-positive nodule detections in the scenario of low-dose computed tomography (CT) lung cancer screening. Approach: We established a dataset consis...

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Bibliographic Details
Published in:J Med Imaging (Bellingham)
Main Authors: Yu, Juezhao, Yang, Bohan, Wang, Jing, Leader, Joseph, Wilson, David, Pu, Jiantao
Format: Artigo
Language:Inglês
Published: Society of Photo-Optical Instrumentation Engineers 2020
Subjects:
Special Series on 2D and 3D Imaging: Perspectives in Human and Model Observer Performance
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7550796/
https://ncbi.nlm.nih.gov/pubmed/33062802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.5.051202
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