Abstract. This paper focuses on an approach .for characterizing the internal structure which is one of important clues for.
This paper focuses on an approach for characterizing the internal structure, which is one of important clues for differentiating between malignant and ...
Computerized analysis of pulmonary nodules in topological and histogram feature spaces ; ISBN: 9780769507507 ; EAN: 9780769507507 ; Other Number: 10.1109/ICPR.
We are developing computerized feature extraction and classification methods to analyze malignant and benign pulmonary nodules in three-dimensional (3-D) ...
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Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT ...
www.ncbi.nlm.nih.gov › PMC4261060
Jun 4, 2014 · Computer-aided detection (CADe) of pulmonary nodules is critical to assisting radiologists in early identification of lung cancer from ...
This paper characterize the internal structure of pulmonary nodules in terms of 3D curvature by using thoracic 3D CT images, which present valuable ...
The voxels inside the nodule were aggregated via shape histogram to quantify how much shape category was present in the nodule. Topological features were ...
nodules in three-dimensional (3-D) thoracic images. This paper focuses on an approach for characterizing the internal texture which is one of important ...
We are developing computerized feature extraction and classification methods to analyze malignant and benign pulmonary nodules in three-dimensional (3-D) ...
Kawata et al. Computerized analysis of pulmonary nodules in topological and histogram feature spaces. 15th International Conference on Pattern Recognition.