Pulmonary Nodule Classification Using Feature and Ensemble Learning-Based Fusion Techniques

Pulmonary Nodule Classification Using Feature and Ensemble Learning-Based Fusion Techniques

The Pulmonary nodule indicates the presence of lung cancer. The deep convolutional neural networks (DCNNs) have been widely used to classify the pulmonary nodule as benign or malignant. However, an individual learner usually performs unsatisfactorily due to limited response space, incorrect selectio...

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Bibliographic Details
Main Authors: Muhammad Muzammil, Imdad Ali, Ihsan Ul Haq, Muhammad Amir, Suheel Abdullah
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural network
computer aided diagnosis
computed tomography
pulmonary nodule
deep features
deep feature fusion
Online Access:https://ieeexplore.ieee.org/document/9507437/

Internet

https://ieeexplore.ieee.org/document/9507437/

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