Human liver Cancer Segmentation and analysis using Human Machine Interation Method
Author(s):
Jenifer S , Francis Xavier College of Engineering; Asst. Prof. Antony Asir Daniel V, Francis Xavier College of Engineering; Abbiramy S. S, Francis Xavier College of Engineering; Arockia Angel S, Francis Xavier College of EngineeringKeywords:
Image Processing, Human Machine Interation, Automated Segmentation, Liver Analysis, Morpological AnalysisAbstract:
There are different kind of options for liver cancer treatment. This analysis focuses one amoung the formost necessary fields of image processing and image segmentation. The treatment choices involve surgery, interventional therapy, radiation, and therefore the combination of those techniques. All of them may be expedited with package tools that create the liver analysis additional precise and fewer enthusiastic about the operator. In this research focus on the special attention to increase the efficiency of the projected algorithms in additionally to their accuracy. According to clinical outcomes a software package workflow is beneficial once the computation time between beginning a perform and visualizing its result doesn't exceed half minute. The algorithms bestowed during this research were designed to resolve advanced clinical issues with efficiency. The author developed an innovative human machine interface technique for machine driven liver lesion detection in particular contrast-enhanced CT images. The proposed interface algorithm is relies on the segmentation of abnormal regions within the liver and therefore the classification of those regions supported a unique multi-level form characterization. The false positives concerned multiple detections of some lesion and tiny lesions or calcifications that weren't concerned within the reference additionally to different false findings. The average period of time of the strategy was 30s per case that demonstrates the potency of the strategy.
Other Details:
| Manuscript Id | : | J4RV4I2013 |
| Published in | : | Volume : 4, Issue : 2 |
| Publication Date | : | 01/05/2018 |
| Page(s) | : | 41-49 |
