A Method of Segmentation in 3D Medical Image for selection of Region of Interest (ROI)
Amit Ranjan Kumar, Pratibha · 2018
In Medical Science manual segmentation process is very costly, time taking and in case of 3D medical images it takes more time and cost in compare to 2D medical images. 3D medical imaging technique provides more precise information of patient for diagnosis and segmentation of 3D medical images is needed for diagnosis and treatment. Here, we present a method for segmentation and selections of Region of Interest (ROI) according to our requirement in one frame and easily analyze and observe result data from 3D medical image. Our computational approach allowed the experts to select the ROI on execution level and free to compare results after each and every execution and identify the best suited result or best image which provides the larger information comparatively others image.