Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules. [PDF]
109 pathologically proven subsolid nodules (SSN) were segmented by 2 readers on non-thin section chest CT with a lung nodule analysis software followed by extraction of CT attenuation histogram and geometric features.
Dmytriw, Adam A+7 more
core +2 more sources
Optimized Face Recognition Algorithm using Spatial and Transform Domain Techniques [PDF]
The biometrics is used to identify or verify persons effectively in the real time scenario. In this paper, we propose Optimized Face Recognition Algorithm using Spatial and Transform Domain Techniques.
Raja, K.B.+3 more
core +1 more source
ObjectivePrediction of therapy response to intravenous methylprednisolone pulses (ivMP) is crucial for thyroid-associated ophthalmopathy (TAO). Image histograms may offer sensitive imaging biomarkers for therapy effect prediction.
Ping Liu+7 more
doaj +1 more source
Color Image Retrieval Algorithm Fusing Color and Principal Curvatures Information
Aiming at the problems of high dimensional features, poor viewpoint robustness and long retrieval time of existing algorithms in the image retrieval system, this paper presents a new image retrieval algorithm by integrating image color information and ...
Haoxiang Zhang, Man Jiang, Qiqi Kou
doaj +1 more source
Correlated Primary Visual Texton Histogram Features for Content Base Image Retrieval
In this paper, a new feature descriptor, named correlated primary visual texton histogram features (CPV-THF), for image retrieval is proposed. CPV-THF integrates the visual content and semantic information of the image by finding correlations among the ...
Ahmad Raza+5 more
semanticscholar +1 more source
Glaucoma diagnosis using discrete wavelet transform and histogram features from fundus images
Glaucoma is one of the main eye diseases; it cause progressive deterioration of optic nerve fibers due to increased fluid pressure. The existing methods of glaucoma diagnosis are time consuming, expensive and require practiced clinicians to understand ...
B. Kirar, D. Agrawal
semanticscholar +1 more source
Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey+5 more
wiley +1 more source
A robust lesion boundary segmentation algorithm using level set methods [PDF]
This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme.
Hunter, Andrew+3 more
core +1 more source
Histogram Layers for Synthetic Aperture Sonar Imagery [PDF]
Synthetic aperture sonar (SAS) imagery is crucial for several applications, including target recognition and environmental segmentation. Deep learning models have led to much success in SAS analysis; however, the features extracted by these approaches may not be suitable for capturing certain textural information.
arxiv +1 more source
A New Histogram-based Descriptor for Images Retrieval from databases [PDF]
International audienceIn this paper, we propose a new approach for designing histogram-based descriptors. For demonstration purpose, we generate a descriptor based on the histogram of differential-turning angle scale space (d-TASS) function and its ...
C. Singh+8 more
core +3 more sources