Classification of malignant lung cancer using deep learning
Author:
Affiliation:
1. Computer Science & Engineering Department, IK Gujral Punjab Technical University, Kapurthala, Punjab, India
Publisher
Informa UK Limited
Subject
Biomedical Engineering,General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/03091902.2020.1853837
Reference23 articles.
1. Key Statistics for Lung Cancer; 2019; [cited 2019 Dec 3]. Available from: https://www.cancer.org/cancer/nonsmallcelllungcancer/about/keystatistics.html
2. Criminisi A, Shotton J, Robertson DP, et al. Regression forests for efficient anatomy detection and localization in CT studies. International MICCAI Workshop on Medical Computer Vision. Springer, Berlin, Heidelberg, 2010.
3. Lung cancer cell identification based on artificial neural network ensembles
4. Obstructive Lung Diseases: Texture Classification for Differentiation at CT
5. Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography
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