Research & Development


Research and development is a process exclusively intended for future oriented, enhancing activities in science or technology, using similar techniques to scientific research without predetermined outcomes and with broad forecasts of knowledge to devise new applications.

The field is rapidly evolving through the innovative approach and upgrading of current technology by creating new set of knowledge’s to devise new applications and services that steadily increasing knowledge exposure.

In general, Research & Development activities ensure safer and secured knowledge for students in their desired field, by shifting the current development style and system into improved technology which provides competitive advantages.

Though, Research & Development forms the basis of industry only 5 % of individuals are conscious about its concepts & importance in the real working environment. Even though the rewards can be very high, the process of technological innovation is complex and risky.

To transform and to increase the convention of Research & Development, we are in the mission of bringing positive impact to students by giving a new methodology. Our team of Faculties, engineers and technical staff specialize exclusively in the programming for college and university clients. Our firm exists to help students and faculties create innovative, functional laboratory environments for learning, research and development.

RESEARCH HELP


  • Research proposal
  • Implementation support
  • Paper writing services
  • Thesis writing
  • Paper publishing
A NOVEL METHOD TO DETECT VERTEBRAL FRACTURE DETECTION AND CLASSIFICATION WITH DEEP LEARNING PLATFORM


Vertebral fractures are the most common fractures in patients with osteoporosis. The World Health Organization considers osteoporosis a critical health problem among general population; it is second only to cardiovascular diseases. In osteoporosis, low bone mass and micro architectural deterioration of bone tissue lead to bone fragility and increased risk of fracture. In the USA, 10 million people over 50 suffer from osteoporosis, while an additional 34 million people are at significant risk to develop the disorder. In the affected group, 1.5 million annual fractures have been registered and 50% of these are vertebral compression fractures (VCFs), twice the rate of hip fractures. Recent data from the European Vertebral Osteoporosis Study have shown that the overall prevalence of vertebral deformity in women is higher than in men, and it also increases with ageing (from 5% at 50 years to 25% at 75 years in women; from 10 to 18% in men)..

This project helps to investigate the use of computational techniques to detect and quantify vertebral fractures due to osteoporosis. The method proposed by us achieved higher classification accuracy. The segmented results also gives very clear picture about osteoporosis. This will be useful to identify the severity of the fractures, so that doctors can easily identify the severity of the fracture and can able to gives the treatment based on the extremity.

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