A Study to Evaluate The Effectiveness of Structured Teaching Programme on Knowledge Regarding Management And Prevention Of Dermatitis in Children Among Mothers In Selected Urban Areas at Tumkur

The focus of this study to evaluate the effectiveness of structured teaching programme on knowledge regarding management and prevention of dermatitis in children among mothers in selected urban areas at Tumkur’’. Children's health  incorporates the physical, mental, emotional, and social well-being of children starting from infancy through adolescence as healthy children become healthy adults. People who are responsible enough to create better lives for themselves, their communities and their countries. Improving the health of the world's children is a core UNICEF objective. Prevalence of dermatitis in children has increased over the past 30 years, although the reasons for this increase are unknown. The current prevalence worldwide is estimated to be between 10.0% to 15.6%. A related inclination has been observed in India over the past 30 years. In an Indian study from Bihar in 2003, AD comprised 28.46% of the total paediatric skin diseases. The disease starts early with 35% to 60% of symptoms manifesting in the first year of life and 47% to 85% by 5 years of age

IMAGE SEGMENTATION TECHNIQUES IN MEDICAL ANALYSIS “A BOON FOR DETECTION OF CANCER”: A REVIEW

mage processing and computer vision systems can enhance the diagnostic capability of physicians by reducing the time required and resulting in accurate diagnosis. This paper presents the review of resentpublished segmentation and classification techniques for detection of Brain Tumors using Magnetic Resonance Images, which is an open challenge in the field of medical science till date. We present the comparative study of a couple of algorithms based on the technique of segmentation, extraction and classification of the images. Initially we start with segmentation based on localindependent projection-based classification, followed by segmentation using adaptive clustering and Level set method comparing these with the result of computer-aided detection /diagnosis involving the process of pulsed coupled neural network for image segmentation, followed by discrete wavelet transforms for feature extraction and feed forward back propagation neural network for classificatio