A COLOR PRE-PROCESSING METHOD FOR TUMOR SEGMENTATION USING HUMAN LIVER CT IMAGES

Abstract

Segmentation is the process used to subdivide an image into its constituent regions or objects. Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. Several segmentation methods have been reported with their own pros and cons. Some of the segmentation methods are assisted with preprocessing, such as their color representation. In this research work, a novel technique has been proposed as a preprocessing approach to color the Computed Tomography (CT) Liver images. The interactive-colored representation of CT Liver images enables the segmentation of tumorous regions present inside the slices. The proposed method has been implemented in both fully automated and semi-automated ways. A fully automated way is purely based on the Electromagnetic (EM) spectrum to color the gray information into colored one, while a semi-automated way uses the colors selected by the operator for different anatomical regions of the same human anatomy. Soft tissue mass evaluation that ranges from non-neoplastic conditions to benign and malignant tumors is a common problem, referred to as radiological findings. It is observed that these findings reliably distinguish between benign and malignant soft tissue lesions. Even expected to provide confirmatory information about the presence of a mass in preparation for possible treatment. This is due to visually evaluated radiological images, a nonstandard approach. To overcome this unreliable situation, we decided to analyze the outcome of various approaches in terms of soft tissue tumor segmentation and classification adopted by various researchers, and to provide a better solution to the highlighted problem. During our research work, we will use human liver CT images in their original. Before segmenting the pathological tissue region from healthy various colorization techniques will be analyzed to fill with appropriate colors