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An algorithm of nodule detection based on high resolution CT images / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 175-178, 2008.
Article in Chinese | WPRIM | ID: wpr-309620
ABSTRACT
Combining the speed of two-dimensional detection with the precision of three-dimensional detection, an automatic algorithm based on high resolution CT images is proposed to identify nodules in this paper. Nodule candidates are extracted by a two-dimensional convergence index (CI) filter, then a three-dimensional Hessian matrix detection filter is introduced to reduce false positive lung nodules, Experiments show that the algorithm is effective with a sensitivity of 90% and the false positive lung nodules per slice is 0.33.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Diagnostic Imaging / Tomography, X-Ray Computed / Sensitivity and Specificity / Solitary Pulmonary Nodule / False Positive Reactions / Methods Type of study: Diagnostic study / Prognostic study Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2008 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Diagnostic Imaging / Tomography, X-Ray Computed / Sensitivity and Specificity / Solitary Pulmonary Nodule / False Positive Reactions / Methods Type of study: Diagnostic study / Prognostic study Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2008 Type: Article