暂无分享,去创建一个
[1] Dimitris N. Metaxas,et al. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions , 2003, IEEE Transactions on Medical Imaging.
[2] Srdjan Stankovic,et al. Computed tomography image analyzer: 3D reconstruction and segmentation applying active contour models - 'snakes' , 2000, Int. J. Medical Informatics.
[3] R. Rudigoz,et al. Reproducibility of transvaginal three‐dimensional endometrial volume measurements with virtual organ computer‐aided analysis (VOCAL) during ovarian stimulation , 2002, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[4] Daniel Cohen-Or,et al. 3D Line Voxelization and Connectivity Control , 1997, IEEE Computer Graphics and Applications.
[5] Xueding Wang,et al. Medical breast ultrasound image segmentation by machine learning , 2019, Ultrasonics.
[6] Li Li,et al. Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm , 2012, Comput. Math. Methods Medicine.
[7] D. Boukerroui,et al. Multiresolution texture based adaptive clustering algorithm for breast lesion segmentation. , 1998, European journal of ultrasound : official journal of the European Federation of Societies for Ultrasound in Medicine and Biology.
[8] N. Raine-Fenning,et al. The reproducibility of endometrial volume acquisition and measurement with the VOCAL‐imaging program , 2002, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[9] N. Raine-Fenning,et al. The interobserver reliability and validity of volume calculation from three‐dimensional ultrasound datasets in the in vitro setting , 2003, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[10] Yeong-Gil Shin,et al. Parallelized Seeded Region Growing Using CUDA , 2014, Comput. Math. Methods Medicine.
[11] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[12] Eugene W. Myers,et al. Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging , 2013, BMC Bioinformatics.
[13] Sung Hun Kim,et al. Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience , 2017, Ultrasonography.
[14] Marco Das,et al. Global left ventricular function in cardiac CT. Evaluation of an automated 3D region-growing segmentation algorithm , 2006, European Radiology.
[15] Dar-Ren Chen,et al. Three‐Dimensional Region‐Based Segmentation for Breast Tumors on Sonography , 2013 .
[16] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[17] Atefeh Sadat Sajadi,et al. A New Seeded Region Growing Technique for Retinal Blood Vessels Extraction , 2014, Journal of medical signals and sensors.
[18] Ruey-Feng Chang,et al. 3-D snake for US in margin evaluation for malignant breast tumor excision using mammotome , 2003, IEEE Transactions on Information Technology in Biomedicine.
[19] Teresa E. Alarcón,et al. A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method , 2005, Comput. Biol. Medicine.
[20] Dar-Ren Chen,et al. Characterization of benign and malignant solid breast masses in harmonic 3D power Doppler imaging. , 2009, European journal of radiology.
[21] Woo Kyung Moon,et al. Level Set Contouring for Breast Tumor in Sonography , 2007, Journal of Digital Imaging.