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Title: :  Deep Learning for Lung Cancer Detection and Classification
PaperId: :  23081
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23081
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
DEEPAK VBANNARI AMMAN INSTITUTE OF TECHNOLOGY
ASHWIN SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
AKASH MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
KALAIYARASI MBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Electronics and Communication Engineering
Deep Learning, VGG-16, VGG-19, CT scans, Transfer Learning.
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 chest X-rays or CT scans. This allows us to automatically recognize complex patterns and features in the lung images, so we can more accurately differentiate 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 help us improve the detection and treatment of lung cancer, reduce mortality rates, and provide valuable insights to healthcare professionals.

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IJARIIE DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. "Deep Learning for Lung Cancer Detection and Classification" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2346-2351
MLA DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. "Deep Learning for Lung Cancer Detection and Classification." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2346-2351.
APA DEEPAK V, ASHWIN S, AKASH M, & KALAIYARASI M. (2024). Deep Learning for Lung Cancer Detection and Classification. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2346-2351.
Chicago DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. "Deep Learning for Lung Cancer Detection and Classification." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2346-2351.
Oxford DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. 'Deep Learning for Lung Cancer Detection and Classification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2346-2351. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning_for_Lung_Cancer_Detection_and_Classification_ijariie23081.pdf (Accessed : ).
Harvard DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. (2024) 'Deep Learning for Lung Cancer Detection and Classification', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2346-2351IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning_for_Lung_Cancer_Detection_and_Classification_ijariie23081.pdf (Accessed : )
IEEE DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M, "Deep Learning for Lung Cancer Detection and Classification," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2346-2351, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning_for_Lung_Cancer_Detection_and_Classification_ijariie23081.pdf [Accessed : ].
Turabian DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. "Deep Learning for Lung Cancer Detection and Classification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver DEEPAK V, ASHWIN S, AKASH M, and KALAIYARASI M. Deep Learning for Lung Cancer Detection and Classification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 2346-2351. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning_for_Lung_Cancer_Detection_and_Classification_ijariie23081.pdf
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