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Semiautomated segmentation of bone marrow biopsies images based on texture features and Generalized Regression Neural Networks
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Semiautomated segmentation of bone marrow biopsies images based on texture features and Generalized Regression Neural Networks
Meschino, Gustavo et al · SEDICI UNLP · 2004
This work presents preliminary results of a method for semi-automatic detection of fat and hematopoietic cells as well as trabecular surfaces in bone marrow biopsies, in order to calculate the percentage of each type of ...
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SAR image segmentation using B-Spline deformable contours
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SAR image segmentation using B-Spline deformable contours
Gambini, María Juliana et al · SEDICI UNLP · 2002
Synthetic Aperture Radar (SAR) images are corrupted by a signal-dependent non-additive noise called speckle. Many statistical models have been proposed to describe this noise, aiming at the development of specialized tec...
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SAR Image segmentation based on multifractal features
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SAR Image segmentation based on multifractal features
Pacheco, Cristian et al · RI ITBA · 2020
"Synthetic Aperture Radar (SAR) imaging is based on airborne or satellite active microwave sensors that can capture the earth surface by emitting a signal and receiving the backscattered signal that forms the resulting ...
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