SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

Chennasamudram Harsha; Manoj Krishna D; Akash P Keladi; Ananthsai Raghava K; Dr. M. Vinoth Kumar

SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

April 2021

Vol-7, Issue-2

Paper ID: 13940

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Lung Cancer Detection CNN Convolutional neural networks Deep CNN Detection

Abstract

The deaths caused by cancer are increasing day by day one of the major reasons is lung cancer. Detecting lung cancer at the initial stages greatly lessens the number of patients who die and dramatically increases the likelihood that the patient will be saved. This paper aims to classify malignant and non-malignant development in the lung using the Convolutional Neural Network (CNN) algorithm. As a progressively mechanized methodology, the CNN technique uses picture information as input information and can be straightforwardly classified as yield. The machine will detect the image of the lung nodule participant in characteristics with various targets and dimensions when observing the disruption in the standard representation of the lung nodule due to its radiological complexity and fluctuation of sizes and shapes, thereby doing the constructive side of the classification function and enhancing the precision of classification steps. Many different methods of detecting lung cancer nodules exist but we will be focusing on Convolutional neural networks that utilize deep learning techniques.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Chennasamudram Harsha	Dayananda Sagar Academy of Technology and Management
2	Manoj Krishna D	Dayananda Sagar Academy of Technology and Management
3	Akash P Keladi	Dayananda Sagar Academy of Technology and Management
4	Ananthsai Raghava K	Dayananda Sagar Academy of Technology and Management
5	Dr. M. Vinoth Kumar	Dayananda Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

Harsha, Chennasamudram, D, Manoj Krishna, Keladi, Akash P, K, Ananthsai Raghava, & Kumar, Dr. M. Vinoth (2021). SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 802-807.

MLA Style

Harsha, Chennasamudram, et al. "SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 802-807.

IEEE Style

Chennasamudram Harsha, Manoj Krishna D, Akash P Keladi, Ananthsai Raghava K, and Dr. M. Vinoth Kumar, "SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 802-807, 2021.

Vancouver Style

Harsha Chennasamudram, D Manoj Krishna, Keladi Akash P, K Ananthsai Raghava, Kumar Dr. M. Vinoth. SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):802-807.

Harvard Style

Harsha, Chennasamudram, D, Manoj Krishna, Keladi, Akash P, K, Ananthsai Raghava, & Kumar, Dr. M. Vinoth (2021) 'SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 802-807.

Chicago Style

Harsha, Chennasamudram, et al. "SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 802-807.

Turabian Style

Harsha, Chennasamudram, et al. "SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 802-807.