Image segmentation is a process that is intended to get the objects contained
in the image by dividing the image into several regions that have similar attributes on
the object. The main purpose of image segmentation is to facilitate the analysis process
so the results more meaningful. Image segmentation is usually used to locate objects
and boundaries in an image. In the medical world in particular, areas that have similar
attributes often found in the image tissues or organs in humans was observed with
medical devices such as organs and ultrasound scanning. In this study examined how
image segmentation using fuzzy level set by utilizing the GPU via a platform called
CUDA. The result is a developed image segmentation 141x able to accelerate faster
than previously done by the CPU.