Facial Skin Disease Detection using Image Processing
Journal Title: International Journal of Bioinformatics and Intelligent Computing - Year 2023, Vol 2, Issue 1
Abstract
Busy lifestyle, modernization, increasing pollution and unhealthy diet have led to problems which people are neglecting. Not drinking enough water, stress and hormonal changes are causing problems to skin. Causes may be situational or genetic. Few skin conditions are minor while others can be life-threatening. The skin is the largest organ of the body and is composed of water, proteins, fats and minerals. Problems appear on outer layer of the skin that is epidermis. Skin diseases are considered to be the fourth most common cause of human illness. Skin diseases are observed to increase with age and were seen frequently in both men and women. Skin disorders can be temporary or permanent. Skin diseases have an impact on individual, family and social life caused by inadequate self-treatment which may also induce psychological problems. In recent years, use of computer technologies is becoming practically universal for both personal and professional issues. Facial skin problem identification and recognition has evolved to a great extent over the years. Detection of skin diseases is done using Convolution Neural Network (CNN) and image processing methods. CNN yields better performance in terms of accuracy, precision and results than the existing conventional methods. Image processing uses digital computer to process the images through an algorithm. We focus on features like skin tone, skin texture and color. We present a brief review about various facial skin problems providing more insight about the effective models and algorithms used.
Authors and Affiliations
Lohith R, Niharika N Govinda, Pruthvi K, Janhavi V, H L Gururaj
Keywords
Related Articles
- EP ID EP724400
- DOI https://doi.org/10.61797/ijbic.v2i1.207
- Views 24
- Downloads 0
Utilizing CRISPR as a Novel Tool for the Induction of Cell Reprogramming
Researchers can now target specific DNA sequences and easily modify them thanks to recent developments in CRISPR technology, enabling genome manipulation with unmatched precision. Furthermore, cell reprogramming is one o...
Review of Bioinformatics Tools and Techniques to Accelerate Ovarian Cancer Research
Since the history of humans there was no definitive cure for cancer. The rapid development in the field of bioinformatics has resulted in acceleration of advancement of cancer research. As computing and IT technology imp...
3D Multimodal Brain Tumor Segmentation and Grading Scheme based on Machine, Deep, and Transfer Learning Approaches
Glioma is one of the most common tumors of the brain. The detection and grading of glioma at an early stage is very critical for increasing the survival rate of the patients. Computer-aided detection (CADe) and computer-...
Review on DNA Cryptography
Cryptography is the science that secures data and communication over the network by applying mathematics and logic to design strong encryption methods. In the modern era of e-business and e-commerce the protection of con...
Identification of Selected Kinetoplastids 18S rRNA Residues required for Efficient Recruitment of Initiator tRNA Met and AUG Selection in silico
High Resolution 18S rRNA structures of kinetoplastids ribosomes from theoretical methods have provided atomic level details about the process of translation. This process entails detailed information on the mRNA and tRNA...