A Short Survey on CT Detection

Zhihai lu, Siyuan Lu

Abstract


Automated and accurate segmentation and classification of CT images are important for diagnosis. Recently researchers have proposed many different and innovative methods to improve upon this technology. This review is focused on discussing the strength and limitations of earlier proposed segmentation and classification techniques. Besides analyzing these literatures, the paper also provides a critical evaluation of the surveyed literature which reveals new hotspots of research.

 

 


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