Deep Learning for Facial Skin Issues Detection: A Study for Global Care With Healthcare 5.0

Motivation

In the phase of facial skin conditions, a silent battle ensues, leaving individuals grappling with not only the physical impact but also the emotional toll it takes. Feelings of depression and anxiety loom large, further amplified by the overwhelming uncertainty of when to seek professional guidance. Many individuals battling with facial skin conditions often find themselves trapped in a cycle of shyness and confusion when it comes to seeking medical help. The visible impact of their conditions leaves them feeling self-conscious and unsure about reaching out to a doctor for assistance. So, here the author team provides a more convenient way to check their condition.

This data science project focuses on the development of a facial skin problem detection system using advanced techniques such as Convolutional Neural Networks (CNN), deep Convolutional Neural Networks (CNN) with Random Forest, and random forest algorithms. Utilizing a comprehensive dataset of facial skin disease images, the project involves training and testing the classification models. The dataset is divided into training and testing sets in an approximate ratio of 80:20.

By providing an early checkup, the system aims to improve the overall quality of dermatological care and outcomes for patients. Through this project, we aspire to empower individuals to take control of their skin health and well-being. By harnessing the power of machine learning algorithms, we seek to alleviate the emotional burdens associated with facial skin problems, enhancing self-confidence and promoting timely intervention. This research represents a significant step towards revolutionizing the field of dermatology, bridging the gap between technology and patient care. By leveraging the insights gained from facial skin problem detection, we strive to create a future where no individual suffers in silence, but instead embraces a life free from the constraints of skin troubles.

Research Objectives

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  Offering a seamless solution to check skin diseases on the face

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  Empowering individuals with effortless convenience, we revolutionize facial health monitoring, putting control at their fingertips.

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  Helps in regular monitoring of skin health

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  Severe skin conditions can be diagnosed in early stages.

Scope of the Works

In today’s modern world skin disease has emerged as a daily life problem. So, this research work can help in finding skin diseases at an early stage. One can also use it for making a correlation with human internal organs. It can also help the dermatologist to make the diagnosis more accurate.

Few skin diseases are recurring, this project can help in future to eradicate the problem from its root, through continuous, regular and accurate monitoring.

Background and Importance of Dermatology

Dermatology is a field of medical science that focuses on skin related problems. Dermatology is important for maintaining skin health and treatment of skin diseases.It is critical to overall healthcare, fostering well-being and improving the quality of life for people of all ages.They also educate patients to keep their skin health better,and suggest ways to help them in achieving better skin health. They are trained to diagnose people's skin condition accurately and give me prescriptions to cure their skin illness (Jørgensen, P., et al., 2014).

Figure 1.

Patient visiting for regular dermatologist meeting

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In Figure 1, the image depicts that a person can have a healthy skin life if the person goes to a dermatologist for regular checkup. Regular meeting with a dermatologist can actually improve the skin conditions and prevent any big harms which can occur in future. The skin doctor can give useful feedback also.