AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Color

Showing 131 to 140 of 181 articles

Clear Filters

A salient region detection model combining background distribution measure for indoor robots.

PloS one
Vision system plays an important role in the field of indoor robot. Saliency detection methods, capturing regions that are perceived as important, are used to improve the performance of visual perception system. Most of state-of-the-art methods for s...

Object Extraction in Cluttered Environments via a P300-Based IFCE.

Computational intelligence and neuroscience
One of the fundamental issues for robot navigation is to extract an object of interest from an image. The biggest challenges for extracting objects of interest are how to use a machine to model the objects in which a human is interested and extract t...

A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.

Ultrasound in medicine & biology
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A c...

A shallow convolutional neural network for blind image sharpness assessment.

PloS one
Blind image quality assessment can be modeled as feature extraction followed by score prediction. It necessitates considerable expertise and efforts to handcraft features for optimal representation of perceptual image quality. This paper addresses bl...

A Fast SVM-Based Tongue's Colour Classification Aided by -Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis.

Journal of healthcare engineering
In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable ...

A novel aptasensor for the colorimetric detection of S. typhimurium based on gold nanoparticles.

International journal of food microbiology
A simple, fast and convenient colorimetric aptasensor was fabricated for the detection of Salmonella typhimurium (S. typhimurium) which was based on the color change effect of gold nanoparticles (GNPs). S. typhimurium is one of the most common causes...

Quality stability and sensory attributes of apple juice processed by thermosonication, pulsed electric field and thermal processing.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional
Worldwide, apple juice is the second most popular juice, after orange juice. It is susceptible to enzymatic browning spoilage by polyphenoloxidase, an endogenous enzyme. In this study, Royal Gala apple juice was treated by thermosonication (TS: 1.3 W...

Spectrum-based and color-selective electrochemiluminescence immunoassay for determining human prostate specific antigen in near-infrared region.

Talanta
The conventional electrochemiluminescence (ECL) analyses were performed via detecting the time (or potential) dependent ECL intensity with the proceeding of ECL reaction. Herein, by spectrally recording all the photons generated in ECL process, a spe...

Explaining Support Vector Machines: A Color Based Nomogram.

PloS one
PROBLEM SETTING: Support vector machines (SVMs) are very popular tools for classification, regression and other problems. Due to the large choice of kernels they can be applied with, a large variety of data can be analysed using these tools. Machine ...

Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.

Food chemistry
Four common food colorants, containing tartrazine, sunset yellow, ponceau 4R and methyl orange, are simultaneously quantified without prior chemical separation. In this study, an effective artificial neural network (ANN) method is designed for modeli...