Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative condition
whose development is characterized by lateralized brain atrophies. In AD, the hippocampus …
whose development is characterized by lateralized brain atrophies. In AD, the hippocampus …
Blind quality evaluator of light field images by group-based representations and multiple plane-oriented perceptual characteristics
Due to the emergency of multi-view cameras and commercial Light Field (LF) cameras, the
demand of high-performance LF quality evaluator is of great significance for guiding LF …
demand of high-performance LF quality evaluator is of great significance for guiding LF …
Image segmentation based on merging of sub-optimal segmentations
In this paper a heuristic segmentation algorithm is presented based on the
oversegmentation of an image. The method uses a set of different segmentations of the …
oversegmentation of an image. The method uses a set of different segmentations of the …
[HTML][HTML] Three-dimensional local energy-based shape histogram (3D-LESH): A novel feature extraction technique
In this paper, we present a novel feature extraction technique, termed Three-Dimensional
Local Energy-Based Shape Histogram (3D-LESH), and exploit it to detect breast cancer in …
Local Energy-Based Shape Histogram (3D-LESH), and exploit it to detect breast cancer in …
Detection of point landmarks in 3D medical images via phase congruency model
This paper presents a novel technique for detection of point landmarks in volumetric medical
images based on a three-dimensional (3D) Phase Congruency (PC) model. A bank of 3D …
images based on a three-dimensional (3D) Phase Congruency (PC) model. A bank of 3D …
Detection of the midsagittal plane in MR images using a sheetness measure from eigenanalysis of local 3D phase congruency responses
RJ Ferrari, CHV Pinto… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The midsagittal plane (MSP) separates the cerebrum into left and right hemispheres and its
detection has a number of useful applications in brain image processing. We propose an …
detection has a number of useful applications in brain image processing. We propose an …
Initialization of deformable models in 3D magnetic resonance images guided by automatically detected phase congruency point landmarks
CHV Pinto, RJ Ferrari - Pattern Recognition Letters, 2016 - Elsevier
Deformable models are a widely used approach for 3D medical image segmentation, due to
its flexibility and capability to incorporate prior anatomical knowledge in the segmentation …
its flexibility and capability to incorporate prior anatomical knowledge in the segmentation …
Motion representation using composite energy features
This work tackles the segmentation of apparent-motion from a bottom-up perspective. When
no information is available to build prior high-level models, the only alternative are bottom …
no information is available to build prior high-level models, the only alternative are bottom …
Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
KM Poloni - 2021 - repositorio.ufscar.br
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with
development characterized by asymmetrical brain atrophies. Across life, due to neuronal …
development characterized by asymmetrical brain atrophies. Across life, due to neuronal …
Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease
IAD de Oliveira, KM Poloni… - 2020 IEEE 33rd …, 2020 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the most common cause of dementia, accounting for 60 to 80%
of all cases. Because of population aging, this disease has become one of the most relevant …
of all cases. Because of population aging, this disease has become one of the most relevant …