Diagnostic imaging of the respiratory disease is feasible to understand by pattern recognition. Abnormal opacities of lung are divided into consolidation, small linear and nodular opacities, mass, atelectases, and linear opacities. Some diseases are shown normal which has subtle abnormalities in chest CT. Majority of diagnostic radiologist now realize that the CAD derived efficient and accurate information for them to perform image diagnoses. It is inevitable both radiologist and CAD researchers should collaborate together to develop more efficient CAD programs
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