Segmentation of differential structures on computed tomography images for diagnosis lung-related diseases

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• 作者：Qaisar Abbas ^{qaisarabbasphd@gmail.com qaabbas@imamu.edu.sa}
• 关键词：Lung cancer ; Computed tomography (CT) ; Computer-aided detection ; Segmentation ; Variational level-set ; Fuzzy c-means clustering ; Fuzzy entropy ; Discrete wavelet transform
• 刊名：Biomedical Signal Processing and Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：Complete
• 页码：325-334
• 全文大小：2360 K
• 卷排序：33

文摘

The pre-processing step is integrated to enhance by reconstruction of an input image into the 4 frequency subbands through discrete wavelet transform (DWT) and un-sharp energy mask (UEM). A new segmentation algorithm is developed for detecting of four differential structures from CT scan images of lungs. Local Energy constraints (LEC) are integrated to Fuzzy c-means clustering algorithm to effectively find out the candidate regions for effectively initialization of variational level set (VLS) method.