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Liver Cancer Detection using CAD

Author(s):

Shaikh Imran Turab , Dept. of Electronic & communication Eng. Govt. Polytechnic beed; Dr. V. K. Kadam, Professor, Dept. of Electronics & telecommunication, P.E.S. College of Eng. Aurangabad

Keywords:

CT Image, Computed Tomography, Segmentation, Image Processing and Enhancement, Cancerous, Non-Cancerous, Classification

Abstract

The hepar is the extensive internal organ in the human body. The liver is the second large organ in human body that include by metastasis disease being live cancer that cause of death worldwide. Without healthy liver a human cannot live. The liver cancer is life frightening disease which is very challenging to recognize for the medical and engineering technique. The Medical image processing technique is utilized for the non-invasive methods to detect the tumours. The possibility of living having Tumour mostly depends on early recognize of Tumour, then classification as non-cancerous and cancerous Tumour. Computers have been successfully applied to various fields of medical sciences such as biochemical analysis, drug development and recognition of diseases from medical images. Visual exposition of medical images is utilized for initially detection and recovery of diseases. The decision based on visual based on the ability of physician to detected definite size or shape of the image. We developed the visual interpretations used to enhance the Diagnostic accuracy. The result display that, CAD (Computer Aided Diagnosis) has become one of the most research in medical and diagnostic radiology.

Other Details

Paper ID: IJSRDV6I50176
Published in: Volume : 6, Issue : 5
Publication Date: 01/08/2018
Page(s): 229-233

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