SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE

PULLAKHANDAM VAMSI KRISHNA MANIKANTA SAI; SHAIK MASTAN VALI; POTNURU PAVAN KUMAR; M RAVI TEJA; G AMAR TEJ

SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE

March 2024

Vol-10, Issue-2

Paper ID: 22793

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

DEEP LEARNING

Keywords

Adam optimizer Convolution Neural Networks (CNN) LeakyReLU Skin Cancer Detection.

Abstract

Skin cancer is one of the most common forms of cancer worldwide, and its early detection is crucial for effective treatment and patient improvement. Traditionally, the diagnosis of skin lesions has been performed by dermatologists through visual inspection, which can be subjective and may vary in accuracy between the people. Here we proposed the potential of Deep Learning technique to develop a robust detection system of skin cancer by using Convolutional Neural Networks (CNNs).CNN one of a class of Deep Learning models known for their exceptional image recognition capabilities. Our system which uses CNN with different layers with LeakyReLU activation function and Adam optimizer technique to identify skin lesions and to eliminate personal analysis of dermoscopy images by experts, because CNN based algorithm is capable of accurately classifying skin lesions as benign and malignant.

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Author Information

#	Name	Institute / Affiliation
1	PULLAKHANDAM VAMSI KRISHNA MANIKANTA SAI	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
2	SHAIK MASTAN VALI	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
3	POTNURU PAVAN KUMAR	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
4	M RAVI TEJA	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
5	G AMAR TEJ	VASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

How to Cite

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

APA Style

SAI, PULLAKHANDAM VAMSI KRISHNA MANIKANTA, VALI, SHAIK MASTAN, KUMAR, POTNURU PAVAN, TEJA, M RAVI, & TEJ, G AMAR (2024). SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 683-691.

MLA Style

SAI, PULLAKHANDAM VAMSI KRISHNA MANIKANTA, et al. "SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 683-691.

IEEE Style

PULLAKHANDAM VAMSI KRISHNA MANIKANTA SAI, SHAIK MASTAN VALI, POTNURU PAVAN KUMAR, M RAVI TEJA, and G AMAR TEJ, "SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 683-691, 2024.

Vancouver Style

SAI PULLAKHANDAM VAMSI KRISHNA MANIKANTA, VALI SHAIK MASTAN, KUMAR POTNURU PAVAN, TEJA M RAVI, TEJ G AMAR. SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):683-691.

Harvard Style

SAI, PULLAKHANDAM VAMSI KRISHNA MANIKANTA, VALI, SHAIK MASTAN, KUMAR, POTNURU PAVAN, TEJA, M RAVI, & TEJ, G AMAR (2024) 'SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 683-691.

Chicago Style

SAI, PULLAKHANDAM VAMSI KRISHNA MANIKANTA, et al. "SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 683-691.

Turabian Style

SAI, PULLAKHANDAM VAMSI KRISHNA MANIKANTA, et al. "SKIN CANCER DETECTION USING CONVENTIONAL CNN ARCHITECTURE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 683-691.