Techniques For Automatic Liver Segmentation In Medical Images of Abdomen

Several areas of science have used Digital Image Processing techniques to extract information, one of these areas of application is Medicine. Radiologists currently use 3D software for the exploitation of digital content in medical images. The method currently used for organ segmentation is manual and may not be effective for exploring the content present in the images, since manual segmentation of organs requires time and may not produce effective results. This work aims to present three techniques developed for automatic segmentation of the liver from medical images. This organ was selected because of the complexity to create a technique for segmentation of all organs of the human anatomy using the techniques of Digital Image Processing, such as: image smoothing, image segmentation and morphological operations. According to the results of the experiments performed, the three techniques proposed had a good rate of liver segmentation.