Buscar
Mostrando ítems 1-7 de 7
Artículo
Color-texture image segmentation based on multistep region growing
(Society of Photo-optical Instrumentation Engineers, 2006)
A new method for color image segmentation is proposed. It is based on a novel region-growing technique with a growth tolerance parameter that changes with step size, which depends on the variance of the actual grown ...
Artículo
Fast parameter-free region growing segmentation with application to surgical planning
(Springer, 2012-01)
In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical planning software platform, our method successfully delineates main tissues ...
Ponencia
Segmentation of bone structures in 3D CT images based on continuous max- ow optimization
(Society of Photo-optical Instrumentation Engineers (SPIE), 2015)
In this paper an algorithm to carry out the automatic segmentation of bone structures in 3D CT images has been implemented. Automatic segmentation of bone structures is of special interest for radiologists and surgeons ...
Artículo
Segmentation-based lossless compression of burn wound images
(Society of Photo-optical Instrumentation Engineers, 2001)
Color images may be encoded by using a gray-scale image compression technique on each of the three color planes. Such an approach, however, does not take advantage of the correlation existing between the color planes. ...
Artículo
Neuromuscular disease classification system
(Spie-soc photo-optical instrumentation engineers, 2013)
Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and ...
Artículo
Self-assessed Contrast-Maximizing Adaptive Region Growing
(Springer, 2009)
In the context of an experimental virtual-reality surgical planning software platform, we propose a fully self-assessed adaptive region growing segmentation algorithm. Our method successfully delineates main tissues relevant ...
Artículo
Does a Previous Segmentation Improve the Automatic Detection of Basal Cell Carcinoma Using Deep Neural Networks?
(MDPI, 2022-02)
Basal Cell Carcinoma (BCC) is the most frequent skin cancer and its increasing incidence is producing a high overload in dermatology services. In this sense, it is convenient to aid physicians in detecting it soon. Thus, ...