Stage 1: Completed on 31 Dec 2015 Stage 2: Completed on 18 Jan 2016
Top 15 Projects have been shortlisted for Stage 3. Stage 3: Experts from our team will be guiding the teams in completing their projects. This stage ends on 31 March 2016. Stage 4: Announcement of prizes on 15 April 2016
Adaptive And Automatic Diagnosis Sickle-cell Anemia Present In Red Blood Cell Using Image Processing Method
Image features based on colour, texture and geometry of the cell are generated (
Members: ARAVINTH, ARAVINTH, DANISH KHAN , College: Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai.
Outcome: Image features based on colour, texture and geometry of the cell are generated Description: Identification of sickle cell in anemia patient .Image processing algorithm to automate the of sickle cell present in blood smears is developed . Image features based on colour, texture and geometry of the cell are generated . simulation results and formance analysis.Using computer based analysis :Image processing based work and adaptive techniques , Provides alerts for early detection in medical field, Medical Tests and diagnosis Helps in quick and accurate detection.