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An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method.

, , , , , , and . Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65122V. SPIE, (2007)

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Automatic Segmentation and Registration of Lung Surfaces in Temporal Chest CT Scans., , , and . IbPRIA (2), volume 3523 of Lecture Notes in Computer Science, page 463-470. Springer, (2005)Digital Subtraction CT Lung Perfusion Image Based on 3D Affine Registration., and . DAGM-Symposium, volume 3663 of Lecture Notes in Computer Science, page 393-400. Springer, (2005)Monitoring of IoT Data for Reducing Network Traffic., , and . ICUFN, page 395-397. IEEE, (2018)An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method., , , , , , and . Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65122V. SPIE, (2007)GGO Nodule Volume-Preserving Nonrigid Lung Registration Using GLCM Texture Analysis., , , , and . IEEE Trans. Biomed. Eng., 58 (10): 2885-2894 (2011)Correction to: CPU-based real-time maximim intensity projection via fast matrix transposition using parallelization operations with AVX instruction set., , and . Multimedia Tools Appl., 77 (12): 15995 (2018)ICP Algorithm Based Liver Rigid Registration Method Using Liver and Liver Vessel Surface Mesh., , , and . RACS, page 23:1-23:6. ACM, (2023)Application of Synthetic Sinogram Based Low-Dose CT Simulation and Fold-Preserving Electronic Cleansing Technique for CT Colonography., , , , , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 89-98. Springer, (2013)Automatic Lung Surface Registration Using Selective Distance Measure in Temporal CT Scans., , , and . CIARP, volume 3287 of Lecture Notes in Computer Science, page 517-524. Springer, (2004)Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities., , , , , , and . IEEE Trans. Medical Imaging, 39 (12): 3900-3909 (2020)