TITLE: LUNG CANCER DETECTION USING DEEP LEARNING

Sindhu priya Akuthota; Shaik Fayazuddin; Sreekar Julluri; Pruthvinath Kusupati; Shaik kadhar sharif

TITLE: LUNG CANCER DETECTION USING DEEP LEARNING

June 2022

Vol-8, Issue-3

Paper ID: 17502

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Deep learning Lung cancer CNN ResNet MobileNet

Abstract

Monitoring health outcomes is essential to enhance quality initiatives, healthcare management, and consumer education. Lung cancer is one of the leading causes among most of the cancer deaths. Early detection of lung cancer is very important to improve the survival rate of infected patients. It also helps in reducing treatment costs and eliminates risk of surgery. Tumors can be different types such as Benign or Malignant. “Cancer” here refers to malignant tumors. In this paper, Resnet and Mobile Net deep neural networks are introduced to classify CT scan images. Resnet (Residual network) was introduced after CNN. In order to improve accuracy and performance additional layers are added to DNN (Deep Neural Network). The intuition behind this is the layers would progressively learn the features. Therefore, the lung cancer detection systems are effective in detecting the cancer at the early stage, besides the model is cost effective and time saving. Hence, the proposed model plays a vital role in diagnosis process.

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Author Information

#	Name	Institute / Affiliation
1	Sindhu priya Akuthota	Electronics and Communication, VNRVJIET, Telangana, India
2	Shaik Fayazuddin	Electronics and Communication, VNRVJIET, Telangana, India
3	Sreekar Julluri	Electronics and Communication, VNRVJIET, Telangana, India
4	Pruthvinath Kusupati	Electronics and Communication, VNRVJIET, Telangana, India
5	Shaik kadhar sharif	Electronics and Communication, VNRVJIET, Telangana, India

How to Cite

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APA Style

Akuthota, Sindhu priya, Fayazuddin, Shaik, Julluri, Sreekar, Kusupati, Pruthvinath, & sharif, Shaik kadhar (2022). TITLE: LUNG CANCER DETECTION USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4792-4798.

MLA Style

Akuthota, Sindhu priya, et al. "TITLE: LUNG CANCER DETECTION USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4792-4798.

IEEE Style

Sindhu priya Akuthota, Shaik Fayazuddin, Sreekar Julluri, Pruthvinath Kusupati, and Shaik kadhar sharif, "TITLE: LUNG CANCER DETECTION USING DEEP LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4792-4798, 2022.

Vancouver Style

Akuthota Sindhu priya, Fayazuddin Shaik, Julluri Sreekar, Kusupati Pruthvinath, sharif Shaik kadhar. TITLE: LUNG CANCER DETECTION USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4792-4798.

Harvard Style

Akuthota, Sindhu priya, Fayazuddin, Shaik, Julluri, Sreekar, Kusupati, Pruthvinath, & sharif, Shaik kadhar (2022) 'TITLE: LUNG CANCER DETECTION USING DEEP LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4792-4798.

Chicago Style

Akuthota, Sindhu priya, et al. "TITLE: LUNG CANCER DETECTION USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4792-4798.

Turabian Style

Akuthota, Sindhu priya, et al. "TITLE: LUNG CANCER DETECTION USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4792-4798.