Enhancing diabetic retinopathy and macular edema detection through multi scale feature fusion using deep learning model.

Background: This work tackles the growing problem of early identification of diabetic retinopathy and diabetic macular edema. The deep neural network design utilizes multi-scale feature fusion to improve automated diagnostic accuracy. Methods This approach uses convolutional neural networks (CNN) and is designed to combine higher-level semantic inputs with low-level textural characteristics.

EFFECTIVENESS OF ICE APPLICATION AT SELECTED ACUPOINT (LI-4) PRIOR TO INTRAMUSCULAR INJECTION ON LEVEL OF PAIN AMONG CHILDREN IN A SELECTED HOSPITAL, CHENNAI, TAMIL NADU, INDIA.

Immunization is an effective and safest way to prevent vaccine-preventable diseases and thereby reduce morbidity and mortality in children. Injections given for immunization are the most usual ground in order to abstract agony or pain, which is the fifth vital sign leading to long-term physically and psychologically detrimental effects. A basic experimental (control group only for post-test) design using the technique of probability of simple random sampling in order to obtain sample size 105 was conducted in an Immunization Clinic at a selected PHC, Tamil Nadu, India.

Effect of RFEMR on NSE and MDA levels in Sprague Dawley rats.

Radiofrequency emitted radiations (RFEMR) from mobile phones are known to produce a stress response because of its effect on hypothalamus. Mobile phones have become an integral part of our lives with increasing usage not only in terms of number of users but also increase in talk time. Therefore, it is of interest to study the effect of mobile phone radiofrequency electromagnetic radiations on NSE and MDA levels in SD rats.

Gallic acid induces constitutive resistance against Bactrocera dorsalis infestation in mango fruit by its dual action.

The Oriental fruit fly, Bactrocera dorsalis (Hendel) is a major insect pest of mango fruit worldwide resulting in huge loss of fruit quality and productivity. However, there exist a few mango varieties resistant to B. dorsalis infestation.

An Evaluation of Effectiveness of a Texture Feature Based Computerized Diagnostic Model in Classifying the Ovarian Cyst as Benign and Malignant from Static 2D B-Mode Ultrasound Images.

Objective: To develop a computerized diagnostic model to characterize the ovarian cyst at its early stage in order to avoid unnecessary biopsy and patient anxiety.

Background: The main cause of mortality and infertility in women is ovarian cancer. It is very difficult to diagnose ovarian cancer using ultrasonography as benign and malignant ovarian masses or cysts exhibit similar characteristics.