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Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 1605-7422, 2011, Volume 7962
Active Shape Models (ASMs) are a popular family of segmentation algorithms which combine local appearance models for boundary detection with a statistical... 
segmentation | shape constraints | Active Shape Model | statistical shape model | Medical imaging | Segmentation | Energy conservation | Images | Minimization | Mathematical models | Boundaries | Optimization
Conference Proceeding
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 04/2010, Volume 29, Issue 4, pp. 961 - 981
Journal Article
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 10/2019, pp. 1 - 1
Object recognition and localization is still a very challenging problem, despite recent advances in deep learning (DL) approaches, especially for objects with... 
Image segmentation | HOG | SIFT | Shape | Image edge detection | Feature extraction | Probabilistic logic | Generalized Expectation-Maximization | Active shape model | Convolutional Neural Networks | Active appearance model
Journal Article
Journal Article
2017 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 09/2017, Volume 2017-, pp. 3610 - 3614
Active Shape Models (ASM) are an iterative segmentation technique to find a landmark-based contour of an object. In each iteration, a least-squares fit of a... 
Training | Image segmentation | Active Shape Models | Generalized Least-Squares | Shape | fluoroscopic X-rays | Detectors | Reliability | Covariance matrices | X-ray imaging | Fluoroscopic X-rays
Conference Proceeding
Journal of Mathematical Imaging and Vision, ISSN 0924-9907, 11/2012, Volume 44, Issue 3, pp. 463 - 479
Journal Article
Journal Article