A Survey of Computer Aided Diagnosis (Cad) of Liver in Medical Diagnosis

Shoaib Farooq, Zoya Khan


In the modern World, diseases may occur at any time. Early diagnosis can prevent the serious consequences of the disease. The Computer Aided Diagnosis has very positively influenced the medical field. It helps the Radiologists to diagnose the diseases very quickly, precisely and accurately. The earlier diagnosis can help doctors to cover further spreading of the disease and to overcome at all. In this paper presented the following step to implements the Diagnosis process including the image preprocessing, Feature Extraction, Segmentation and classification. There are different techniques used in Image Segmentation like Fuzzy-C-Mean (FCM) Algorithm, Thresholding, Watershed Clustering Method and Region Growing etc. Feature extraction is the second phase that includes the calculation of different features of segmented lesion. It transforms the data that is in high-dimensional space to some extent of lesser dimensions. This is the final phase the classification phase that which is deals the Measurement of feature that are used the input to support the vector machine in last classify the lesion. This paper works of Computer Aided Diagnosis on liver lesion has briefly described.

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DOI: http://dx.doi.org/10.21015/vtcs.v15i3.524


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