A Short Survey on CT Liver Detection
Liver cancer is one of leading cancerous diseases nowadays. Computed tomography (CT) is the most commonly used modality for the evaluation of focal liver lesions. Automated and accurate segmentation and classification of Liver CT images are important for diagnosis, treatment, and research. 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 literature, the paper also provides a critical evaluation of the surveyed literature which reveals new hotspots of research.
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