Convolutional Neural Network Approach for Early Skin Cancer Detection

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Roshani Raut, Niraj Gavali, Prathamesh Amate, Mihir Ajay Amode, Shraddha Malunjkar, Pradnya Borkar

Abstract

The field of medical image processing is rapidly adopting artificial intelligence. Its use is required for many applications in the healthcare industry. A machine can learn from experience without explicit programming thanks to computer education. It is an area within AI. Deep learning, a kind of machine learning, infers critical features for image processing via multiple layer processing and mathematical operations based on artificial neural networks. In the field of healthcare, which encompasses medicine and dentistry, artificial intelligence has several applications.Early melanoma skin cancer identification is necessary for effective therapy. Melanoma, among the various types of skin cancer, has recently gained international recognition as the most deadly one since it is much more likely to spread to other body regions if detected and treated quickly. Clinical diagnosis of various ailments is increasingly using non-invasive medical computer vision or medical image processing. These methods offer an automatic image processing tool that makes it possible to examine the lesion quickly and precisely. The procedures used in this study included building a database of dermoscopy images, preprocessing, segmenting using thresholding, extracting statistical features using asymmetry, border, colour, diameter, etc., and choosing features based on the total dermoscopy score, principal component analysis (PCA), and convocation neural network classification (CNN). According to the findings, a classification accuracy of 90.1% was attained.

Article Details

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Articles
Author Biography

Roshani Raut, Niraj Gavali, Prathamesh Amate, Mihir Ajay Amode, Shraddha Malunjkar, Pradnya Borkar

1Roshani Raut

2Niraj Gavali

3Prathamesh Amate

4Mihir Ajay Amode

5Shraddha Malunjkar

6Pradnya Borkar

12345Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India

6Symbiosis Institute of Technology, Nagpur

¹roshani.raut@pccoepune.org,
²niraj.gavali19@pccoepune.org,
³prathamesh.amate19@pccoepune.org,
⁴mihir.amode19@pccoepune.org,
⁵shraddha.malunjkar19@pccoepune.org,
6pradnyaborkar2@gmail.com

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