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Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. In this research paper, we provide an approach to detect various kinds of these diseases. We use a dual stage approach which effectively combines Computer Vision and Machine Learning on clinically evaluated histopathological...
CDAC designed and constructed two Mobile Tele-Ophthalmology Units with WiMAX and KSWAN connections and commissioned one each in Regional Institute of Ophthalmology (RIO), Trivandrum and District Hospital (DH), Palakkad. RIO has conducted 117 camps and treated 2163 rural patients since commissioning their unit on February 16, 2011. In the period from July 2011 to June 2012,158 Glauoma, 325 Diabetic...
Aloe vera has an immense role as a natural fighter against all kinds of infection. This is an effective wound healing activator and an efficient anti-oxidant to all type of digestion related problems, arthritis, stress, diabetes, cancer and AIDS. The present study attempts to reveal the multi therapeutic properties of Aloe vera by computational analysis. The interaction analysis of the some of the...
Parkinson's disease (PD) is the second most frequent degenerative disorder after Alzheimer's disease. It is characterized by the depletion of mesenchephalic dopaminergic (DA) neurons in the substantia nigra pars compacta (SNpc) and striatal dopamine. Oxidative stress plays a major role in the pathogenesis of Parkinson's disease where DA neurons are especially vulnerable to excessive production of...
Segmentation of vascular structures of retina for implementation of Clinical diabetic retinopathy decision making systems is presented in this paper. As retinal vascular structure is with thin blood vessels, prediction accuracy is highly dependent upon the segmentation and preprocessing schemes. Complex GSZ shock filters have been used for noise suppression and edge enhancement. Binarization algorithms...
It is becoming increasingly clear that mechanical and other biophysical signals from the extracellular matrix (ECM) can powerfully influence a wide variety of fundamental cell behaviors, including proliferation, differentiation, death, and motility. This concept has significant implications both for understanding the pathophysiology of disease and the design of biointerfaces found in cellular microdevices...
The prediction of biological activity of a chemical compound from its structural features, representing its physico-chemical properties, plays an important role in drug discovery, design and development. Since the biological data is highly non-linear, the machine-learning techniques have been widely used for modeling it. In the present work, the clustering, genetic algorithm (GA) and artificial neural...
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