MEDICAL IMAGE PROCESSING PROJECTS

Medical Image Processing Projects are created based on computerized imaging system. It should give the scanned image for processing and identification of disease presented in the particular medical images. Some uprising in medical images are in imaging technology has tissue development, Computer science and micro-electronics has some advancements, qualitative and quantitative diagnosis.Medical Image Processing Projects are developed based on image processing simulation tool named as Matlab.

In medical imaging different types of imaging modalities are used. There are ultrasound, MRI, Hyper spectral imaging, 3D/4D imagers, vein viewer skull stripping algorithm matlab, Computed Tomography, PET, OCT and X-Ray.  For clinical purpose medical imaging techniques are used to generate human body internal images. Generally, a non-invasive technique will be used. At the time of surgery the different modalities can be used for getting the internal images.

2015 IEEE MEDICAL IMAGE PROCESSING PROJECTS

• Pin Assignment Optimization for Large-Scale High-Pin-Count BGA Packages Using Genetic Algorithm.
• Gene Regulatory Network Evolution Through Augmenting Topologies.
• Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms.
• Design of Near-Field Synthesis Arrays Through Global Optimization.
• A Bi-Level Energy-Saving Dispatch in Smart Grid Considering Interaction Between Generation and Load.
• Optimized Comics-Based Storytelling for Temporal Image Sequences.
• Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis.
• Gain-Scheduled $ell _{1}$ -Optimal Control of Variable-Speed-Variable-Pitch Wind Turbines.
• Harmony Search Algorithm-Based Controller Parameters Optimization for a Distributed-Generation System.
• Colored Traveling Salesman Problem.
• The Modeling and Calculation on an Air-Core Passive Compulsator.
• A method of detecting heartbeat locations in the ballistocardiographic signal from the fiber-optic vital signs sensor.
• Metaheuristic Optimization Methods Applied to Power Converters: A Review.
• 3D Printed All–Dielectric Frequency Selective Surface with Large Bandwidth and Field-of-View.
• Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method.

Algorithm used in Medical Image Processing Projects

Medical Image Processing Projects are developed based on image processing simulation tool named as Matlab. Using the tool processing more medical images of human organs are (Brain, Lung, Kidney, Skin, Retina, Finger, Tissues and Skull). According to the modality results the physician can easily observe the pathologies directly but sometimes it took more time to analyzing. Image analysis process can be automated for producing interesting results about human diseases.

In medical image processing projects we have to use more algorithms to identify and classify the diseases in the images. Segmentation and classification methods are used to detect the disease and known the status of the human. Some of the commonly used classification algorithms are
Support Vector Machine.