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Efficient Segmentation of Lung Using FIDRM Filter and Successive Peak Quantization Transform
2018
International Journal of Intelligent Engineering and Systems
Computed Tomography (CT) is the main source for analyzing the lung diseases and the preplanning of pulmonary surgeries. The accurate interpretation of chest CT scan makes a challenge to radiologists due to its complex visual nature. This paper proposes a novel method to segment the left and right lungs from the background of CT images to assist the pathologists for the easy and accurate diagnosis of pulmonary diseases. The segmentation of lung is a challenging task due to the anatomical
doi:10.22266/ijies2018.0430.13
fatcat:p26hosuuxnc6dmwq5a7ycpjcmq