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Feb 25, 2024 · This study aims to evaluate the performance of 16 histogram-based image texture descriptors and features extracted from 18 pre-trained convolutional neural ...
Comparative efficacy of histogram-based local descriptors and CNNs in the MRI-based multidimensional feature space for the differential diagnosis of Alzheimer's disease: a computational neuroimaging approach. from www.researchgate.net
Mar 22, 2024 · This study aims to evaluate the performance of 16 histogram-based image texture descriptors and features extracted from 18 pre-trained ...
Comparative efficacy of histogram-based local descriptors and CNNs in the MRI-based multidimensional feature space for the differential diagnosis of ...
The objective was to differentiate between individuals with normal cognitive function and those diagnosed with Alzheimer's disease. The proposed methodology ...
Comparative Efficacy of Histogram-Based Local Descriptors and CNNs in the MRI-Based Multidimensional Feature Space for the Differential Diagnosis of ...
Comparative efficacy of histogram-based local descriptors and CNNs in the MRI-based multidimensional feature space for the differential diagnosis of Alzheimer' ...
Comparative efficacy of histogram-based local descriptors and CNNs in the MRI-based multidimensional feature space for the differential diagnosis of ...
In this paper, we use the visual indexing framework and pattern recognition analysis based on structural MRI data to discriminate three classes of subjects: ...
Missing: Comparative efficacy
This systematic review surveys the recent literature (2018 onwards) to illuminate the current landscape of AD detection via deep learning.
Comparative efficacy of histogram-based local descriptors and CNNs in the MRI-based multidimensional feature space for the differential diagnosis of Alzheimer's ...