LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

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

LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

June 2021

Vol-7, Issue-3

Paper ID: 14476

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Lung Cancer Detection CNN Convolutional neural networks Deep CNN Detection Deep Learning

Abstract

Cancer-related deaths are on the rise, and one of the leading causes is lung cancer. Detecting lung cancer in its early stages reduces the number of patients who die and dramatically increases the patient's chances of survival. The goal of this study is to use the Convolutional Neural Network (CNN) algorithm to distinguish between malignant and non-malignant lung nodule developments. The CNN technique, as a gradually mechanized methodology, uses digital images as input information and can be easily classified as yield. When observing the disruption in the standard representation of the lung nodule due to its radiological complexity, the machine will detect the image of the lung nodule present in characteristics with various targets and dimensions, 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 utilizes deep learning techniques.

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Author Information

#	Name	Institute / Affiliation
1	Chennasamudram Harsha	Dayananda Sagar Academy of Technology and Management
2	Akash P Keladi	Dayananda Sagar Academy of Technology and Management
3	Ananthsai Raghava K	Dayananda Sagar Academy of Technology and Management
4	Manoj Krishna D	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, Keladi, Akash P, K, Ananthsai Raghava, D, Manoj Krishna, & Kumar, Dr. M. Vinoth (2021). LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1624-1631.

MLA Style

Harsha, Chennasamudram, et al. "LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1624-1631.

IEEE Style

Chennasamudram Harsha, Akash P Keladi, Ananthsai Raghava K, Manoj Krishna D, and Dr. M. Vinoth Kumar, "LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1624-1631, 2021.

Vancouver Style

Harsha Chennasamudram, Keladi Akash P, K Ananthsai Raghava, D Manoj Krishna, Kumar Dr. M. Vinoth. LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1624-1631.

Harvard Style

Harsha, Chennasamudram, Keladi, Akash P, K, Ananthsai Raghava, D, Manoj Krishna, & Kumar, Dr. M. Vinoth (2021) 'LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1624-1631.

Chicago Style

Harsha, Chennasamudram, et al. "LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1624-1631.

Turabian Style

Harsha, Chennasamudram, et al. "LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1624-1631.