An automated detection of glaucoma using histogram features [PDF]
International Journal of Ophthalmology, 2015 Glaucoma is a chronic and progressive optic neurodegenerative disease leading to vision deterioration and in most cases produce increased pressure within the eye. This is due to the backup of fluid in the eye; it causes damage to the optic nerve.
Karthikeyan Sakthivel +1 more
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Face recognition algorithm using extended vector quantization histogram features. [PDF]
PLoS ONE, 2018 In this paper, we propose a face recognition algorithm based on a combination of vector quantization (VQ) and Markov stationary features (MSF). The VQ algorithm has been shown to be an effective method for generating features; it extracts a codevector ...
Yan Yan +3 more
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News Video Summarization Combining SURF and Color Histogram Features [PDF]
Entropy, 2021 Because the data volume of news videos is increasing exponentially, a way to quickly browse a sketch of the video is important in various applications, such as news media, archives and publicity.
Buyun Liang +5 more
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Assessment of chemotherapy resistance changes in human colorectal cancer xenografts in rats based on MRI histogram features [PDF]
Frontiers in OncologyPurposeWe investigated the value of magnetic resonance imaging (MRI) histogram features, a non-invasive method, in assessing the changes in chemoresistance of colorectal cancer xenografts in rats.MethodsA total of 50 tumor-bearing mice with colorectal ...
Min-Yi Wu +6 more
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CT imaging-based histogram features for prediction of EGFR mutation status of bone metastases in patients with primary lung adenocarcinoma [PDF]
Cancer Imaging, 2019 Objective To identify imaging markers that reflect the epidermal growth factor receptor (EGFR) mutation status by comparing computed tomography (CT) imaging-based histogram features between bone metastases with and without EGFR mutation in patients with ...
Tong-xu Shen +8 more
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The value of multiparametric histogram features based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the differential diagnosis of liver lesions. [PDF]
Ann Transl Med, 2020 Ai Z, Han Q, Huang Z, Wu J, Xiang Z.
europepmc +3 more sources
Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features [PDF]
, 2017 Stacking-based deep neural network (S-DNN), in general, denotes a deep neural network (DNN) resemblance in terms of its very deep, feedforward network architecture.
Cheng-Yaw Low, Andrew Beng Jin Teoh
openalex +3 more sources
A Learning-Based Steganalytic Method against LSB Matching Steganography [PDF]
Radioengineering, 2011 This paper considers the detection of spatial domain least significant bit (LSB) matching steganography in gray images. Natural images hold some inherent properties, such as histogram, dependence between neighboring pixels, and dependence among pixels ...
Z. Xia +5 more
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Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions [PDF]
BMC Medical ImagingBackground To extract the histogram features of quantitative parameters from synthetic MRI (SyMRI) and evaluate their diagnostic performance in differentiating benign and malignant BI-RADS 4 non-mass enhancement (NME) lesions.
Qin Li +6 more
doaj +2 more sources
Energies, 2021 In this paper, a novel image denoising algorithm and novel input features are proposed. The algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single dominant partial discharge (PD) source, preparing them for automatic ...
Ramon C. F. Araújo +3 more
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