Early Prediction and Analysis of Epidermal Malignant Cancer Using Image Analysis Techniques

DOI: https://doie.org/10.1108/ES.2024840753

D. Saravanan, Wuriti Kavya, Dr. Koushik, Dr.Maruthy Subrahmanyam

Keywords:

Healthcare system, Epidermis affect, cell grouping, cluster formation, Image formulate, Snapshot picture element.

Abstract:

Technology plays a crucial role in every field, and its adoption, particularly in the healthcare sector, is highly innovative and rapidly growing. Due to the increasing population and various environmental hazards, human health is affected by multiple factors. Air pollution, water contamination, and other environmental pollutants are causing significant health issues, impacting individuals from newborns to the elderly. These hazards lead to complex health disorders, often stemming from unknown factors. This proposed work focuses on identifying human health hazards using technology, particularly by analyzing affected epidermis cells. In this approach, images of the affected epidermis are captured and analyzed using image analysis techniques. The processed information is then delivered to the user in a short time, aided by trained image datasets. While many existing methods rely on manual analysis, the proposed system creates a refined and continuously updated dataset with new findings. The proposed technique demonstrates improved accuracy and faster results compared to manual approaches.

PDF