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Title: :  Melanoma Detection using Convolutional Neural Networks
PaperId: :  19321
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19321
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vasista NampallyB V Raju Institute of Technology
Abhinaya MenduB V Raju Institute of Technology
Vijaya KatturiB V Raju Institute of Technology

Abstract

Computer Science
Convolutional neural networks, skin cancer, melanoma, inception, efficient net.
Melanoma is one of the most prevalent and severe skin cancer disorders, being difficult to identify and creating major difficulties once it has progressed deeper. Melanomas come in a variety of forms, sizes, and colours, making it difficult to give complete warning indications. Although melanoma is normally treatable in its early stages, if it is not treated, it can spread deeper into the skin or other regions of the body, making treatment more difficult and eventually fatal. As a result, early detection of melanoma is critical. Neural Networks have made great progress in this sector, allowing melanomas to be detected using numerous previously acquired patterns while dealing with bigger datasets than a human specialist can handle. In our work, we analyzed different models for detecting melanomas to select the most accurate method for this purpose.

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IJARIIE Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. "Melanoma Detection using Convolutional Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 56-59
MLA Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. "Melanoma Detection using Convolutional Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 56-59.
APA Vasista Nampally, Abhinaya Mendu, & Vijaya Katturi. (2023). Melanoma Detection using Convolutional Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 56-59.
Chicago Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. "Melanoma Detection using Convolutional Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 56-59.
Oxford Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. 'Melanoma Detection using Convolutional Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 56-59. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Melanoma_Detection_using_Convolutional_Neural_Networks_ijariie19321.pdf (Accessed : ).
Harvard Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. (2023) 'Melanoma Detection using Convolutional Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 56-59IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Melanoma_Detection_using_Convolutional_Neural_Networks_ijariie19321.pdf (Accessed : )
IEEE Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi, "Melanoma Detection using Convolutional Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 56-59, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Melanoma_Detection_using_Convolutional_Neural_Networks_ijariie19321.pdf [Accessed : ].
Turabian Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. "Melanoma Detection using Convolutional Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Vasista Nampally, Abhinaya Mendu, and Vijaya Katturi. Melanoma Detection using Convolutional Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 56-59. Available from: https://ijariie.com/AdminUploadPdf/Melanoma_Detection_using_Convolutional_Neural_Networks_ijariie19321.pdf
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