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Automatic pulmonary nodule detection in Computer Tomographic (CT) images is a challenge task for the Computer Aided Diagnosis (CAD) systems. This paper proposes a novel nodule enhancement filter (Homocentric Squares Filter) for automatic nodule detection based on CT characteristic and shape feature. First, the bright regions in the image are enhanced by calculating the CT value variation between an...
A computer-aided hepatocellular carcinoma system is introduced in this paper. Tumor size and tumor intensity changes are heavily referenced in clinical practice while diagnosing hepatocellular carcinoma. In the enhancement scanning, the tumor might have different intensity appearance in three consecutive phases: arterial phase, portal vein phase and delay phase. By comparing the intensity of tumor...
To develop a computer aided detection system that improves diagnostic accuracy of lung cancer on thoracic CT. A novel method for CT image segmentation of lung is proposed, with which, several regions that are suspicious of cancer can be segmented rapidly and effectively. Algorithm of extracting pulmonary parenchyma was introduced firstly to extract pulmonary parenchyma. Secondly, FCM was employed...
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