Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters

Author:

Siddiqui Ebtasam AhmadORCID,Chaurasia Vijayshri,Shandilya Madhu

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference34 articles.

1. https://www.who.int/health-topics/cancer.

2. K. L. Hua, C. H. Hsu, S. C. Hidayati, W. H. Cheng and Y. J. Chen, “Computer-aided classification of lung nodules on computed tomography images via deep learning technique”, OncoTargets Ther., Vol. 8, pp. 2015–2022. https://doi.org/10.2147/OTT.S80733.

3. Classification of lung data by sampling and support vector machine;Dehmeshki,2004

4. Optimal deep learning model for classification of lung cancer on CT images;Lakshmanaprabu;Future Generat. Comput. Syst.,2019

5. Classification of non-small cell lung cancer using one-dimensional convolutional neural network;Moitra;Expert Syst. Appl.,2020

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