Results 21 to 30 of about 483,454 (329)
Frontiers in Neuroscience, 2023 Background and aimsWe aim to analyze the difference in quantitative features between culprit and non-culprit intracranial plaque without substantial stenosis using three-dimensional high-resolution vessel wall MRI (3D hr-vw-MRI).MethodsThe patients with ...
Xia Tian +10 more
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Predicting the Valence of a Scene from Observers' Eye Movements. [PDF]
PLoS ONE, 2015 Multimedia analysis benefits from understanding the emotional content of a scene in a variety of tasks such as video genre classification and content-based image retrieval.
Hamed R-Tavakoli +5 more
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Eye Diseases Classification Using Back Propagation Artificial Neural Network [PDF]
Engineering and Technology Journal, 2021 A human eye is a vital organ responsible for a person's vision. So, the early detection of eye diseases is essential. The objective of this paper deals with diagnosing of seven different external eye diseases that can be recognized by a human eye.
Hanaa M. Ahmed, Shrooq R. Hameed
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Identification of Skin Tumours using Statistical and Histogram Based Features [PDF]
Journal of Clinical and Diagnostic Research, 2018 Introduction: Skin tumour is uncontrolled growth of cells in skin. Skin tumour is becoming predominant in different parts of the world. Basal carcinoma, squamous carcinoma and melanoma are the skin cancer types common in India.
TR Thamizhvani +5 more
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Analysis of MRI Slices of Hamstring Avulsion Injury using Histogram [PDF]
Journal of Clinical and Diagnostic Research, 2018 Introduction: Hamstring avulsion injury can be defined as improper functioning of the hamstring muscles due to external stress or strain. The detachment of hamstring muscular region from the tendons occurs under severe conditions.
TR Thamizhvani +4 more
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A Likelihood Ratio Classifier for Histogram Features [PDF]
2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2018 In a number of classification problems, the features are represented by histograms. Traditionally, histograms are compared by relatively simple distance measures such as the chi-square, the Kullback-Leibler, or the Euclidean distance. This paper proposes a likelihood ratio classifier for histogram features that is optimal in Neyman-Pearson sense. It is
Veldhuis, Raymond +2 more
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Frontiers in Oncology, 2021 The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to ...
Anna Rodrigues +10 more
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Offline signature verification using classifier combination of HOG and LBP features [PDF]
, 2011 We present an offline signature verification system based on a signature’s local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each ...
Kholmatov, Alisher Anatolyevich +6 more
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Beat histogram features from NMF-based novelty functions for music classification [PDF]
, 2015 In this paper we present novel rhythm features derived from drum tracks extracted from polyphonic music and evaluate them in a genre classification task. Musical excerpts are analyzed using an optimized, partially fixed Non-Negative Matrix Factorization (
Lerch, Alexander +2 more
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Tree-Wise Discriminative Subtree Selection for Texture Image Labeling
IEEE Access, 2017 In this paper, we propose a method for texture image labeling that works with a small number of training images. Our method is based on a tree of shapes and histogram features computed on the tree structure.
Tsubasa Hirakawa +6 more
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