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Nagaraju, D.
- The Smart Detection and Analysis on Skin Tumor Disease Using Bio Imaging Deep Learning Algorithm
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Authors
Affiliations
1 Department of Computer Science and Business Systems, Panimalar Engineering College, IN
2 Department of Computer Science and Engineering, Sri Venkatesa Perumal College of Engineering and Technology, IN
3 Department of Electrical and Electronics Engineering, Adhi Parasakthi Engineering College, IN
4 Department of Computer Science and Engineering, KL Deemed to be University, IN
1 Department of Computer Science and Business Systems, Panimalar Engineering College, IN
2 Department of Computer Science and Engineering, Sri Venkatesa Perumal College of Engineering and Technology, IN
3 Department of Electrical and Electronics Engineering, Adhi Parasakthi Engineering College, IN
4 Department of Computer Science and Engineering, KL Deemed to be University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 4 (2023), Pagination: 2959-2965Abstract
Skin cancer is one of the most common and devastating forms of cancer. It is estimated that one out of every five individuals will develop skin cancer at some point in their lifetime. Early detection and treatment are essential for successful outcomes, and thus, developing automated and accurate detection methods for skin tumors is of great interest. In this paper, a bio-imaging based deep learning algorithm, have made it possible to accurately detect and analyze skin tumor diseases. This algorithm use complex neural network architectures to automatically identify and classify skin lesions from medical images. These methods can significantly help reduce the workload of dermatologists and improve the accuracy and speed of skin cancer detection. This study reviews the current research on automated skin tumor detection and analysis using deep learning algorithms, and presents some of the most promising directions for further investigation.Keywords
Skin Cancer, Early Detection, Treatment, Bio-Imaging, Deep Learning, Accuracy.
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