A fully automated Liver and HCC Tumor segmentation using cell density and Morphological Operations

A fully automated Liver and HCC Tumor segmentation using cell density and Morphological Operations

An early detection and diagnosis of hepatocellular carcinoma (HCC) is most discriminating step in liver cancer management. Image processing plays very vital role to early detection and diagnosis of HCC. The fast and accurate CT liver images segmentation is a very challenging in detection, diagnosis, clinical studies and treatment planning of HCC. The purpose of this research is to develop an automatic HCC detection and diagnosis system that detect and segment all type of HCC lesion from liver CT images with maximum sensitivity and minimum specificity. The proposed method planned an automatic liver segmentation and then HCC lesion segmentation. In first step, we created mask based on chosen histogram thresholds to predict best frame and segmentation of liver using prior knowledge of location and shape. Secondly proposed HCC lesion based on 3D with combinations of edge detection techniques, histogram analysis, and morphological processing to detect and segment the HCC lesions. The experiments were carried out with 31 CT cases involving 18 HCC lesion and 13 non lesion. The simulation and experiments result demonstrated high accuracy 98% and at low 2% false positive which compared with manual segmentation done by radiologist.

Place a similar order with us or any form of academic custom essays related subject and it will be delivered within its deadline. All assignments are written from scratch based on the instructions which you will provide to ensure it is original and not plagiarized. Kindly use the calculator below to get your order cost; Do not hesitate to contact our support staff if you need any clarifications.

Type of paper Academic level Subject area
Number of pages Paper urgency Cost per page:

Whatever level of paper you need – college, university, research paper, term paper or just a high school paper, you can safely place an order.

Page Navigation