DEEP LEARNING FOR LUNG CANCER DETECTION AND  CLASSIFICATION

RANJITH V; ARUNKUMAR V; ABINESH A; STEPHEN SAGAYARAJ A

DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION

October 2023

Vol-9, Issue-5

Paper ID: 21818

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

DEEP LEARNING

Keywords

Deep Learning VGG-16 VGG-19 CT scans Transfer Learning

Abstract

Deep learning has a lot of potential to help us detect and classify lung cancer more accurately, which is really important for early detection and treatment. Two of the most well-known deep CNN models are VGG16 and VGG19 These deep CNN models are well-known for their depth and great feature extraction abilities, but they've been adapted and finely-tuned to analyze medical images, especially pulmonary CT scan. This allows us mechanically recognize complex composition of the lung images, so we can more be more precise in distinguishing between the benign and malignant lung nodules or lesions. In this abstract, we'll look at the architectural details of these models, how they can be applied through transfer learning to lung cancer datasets, as well as how data augmentation techniques can be used to improve model generalization. All in all, these models can Enhance the early detection and personalized treatment of lung cancer, reduce mortality rates, and provide valuable insights to healthcare professionals.

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Author Information

#	Name	Institute / Affiliation
1	RANJITH V	BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM
2	ARUNKUMAR V	BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM
3	ABINESH A	BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM
4	STEPHEN SAGAYARAJ A	BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM

How to Cite

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

APA Style

V, RANJITH, V, ARUNKUMAR, A, ABINESH, & A, STEPHEN SAGAYARAJ (2023). DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1941-1946.

MLA Style

V, RANJITH, et al. "DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1941-1946.

IEEE Style

RANJITH V, ARUNKUMAR V, ABINESH A, and STEPHEN SAGAYARAJ A, "DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1941-1946, 2023.

Vancouver Style

V RANJITH, V ARUNKUMAR, A ABINESH, A STEPHEN SAGAYARAJ. DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1941-1946.

Harvard Style

V, RANJITH, V, ARUNKUMAR, A, ABINESH, & A, STEPHEN SAGAYARAJ (2023) 'DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1941-1946.

Chicago Style

V, RANJITH, et al. "DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1941-1946.

Turabian Style

V, RANJITH, et al. "DEEP LEARNING FOR LUNG CANCER DETECTION AND CLASSIFICATION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1941-1946.