G Sindhu Madhuri
Mother Teresa Womenâ??s University, India
Posters-Accepted Abstracts: J Diabetes Metab
Now-a-days, Computer Aided Diagnostics and Treatment (CADT) have emerged as a powerful and economical treatment tool in the advanced medicine that uses non-invasive imaging modalities of the internal organs of human body. Even though, advanced research studies are available in the medicine across the globe, its usage is very less in the people who are suffering from various disorders. This is because people approach doctors only when there is a big health problem, for e.g., when they experience the various symptoms of Diabetes. Under these circumstances (i) qualified doctors may or may not available (remote place), (ii) sophisticated diagnostics and treatment centers may or may not available (may not be a big city), (iii) even if (i) and (ii) are available, then there may or may not have any previous diagnostic and treatment history of that patient itself for necessary knowledge to the doctors in order to provide the best treatment at that instant. Finally the patient may or may not get a right treatment in right time. Keeping these complex factors under consideration, a research study is carried out using medical image analysis in general and medical image registration in particular and attempted to develop an intelligent CADT systems useful for health communication & management in general and diabetics in particular, as an Automatic Disease Diagnostic & Treatment System (ADDTS).
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