AIMC Topic: Color

Clear Filters Showing 71 to 80 of 191 articles

Automated color detection in orchids using color labels and deep learning.

PloS one Oct 27, 2021
The color of particular parts of a flower is often employed as one of the features to differentiate between flower types. Thus, color is also used in flower-image classification. Color labels, such as 'green', 'red', and 'yellow', are used by taxonom...
Color Algorithms Plants Deep Learning Flowers
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Decompartmentalisation as a simple color manipulation of plant-based marbling meat alternatives.

Biomaterials Sep 3, 2021
Recent efforts for cell-based meat cuts focus on engineering edible scaffolds, with visual cues which are key to enhancing consumer acceptance, receiving less attention Here, we employed artificial intelligence (AI)-based screening of potential plant...
Artificial Intelligence Animals Swine Humans Meat Consumer Behavior Tissue Engineering Chickens Color Cattle
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Evaluation of novel LCI CAD EYE system for real time detection of colon polyps.

PloS one Aug 26, 2021
BACKGROUND: Linked color imaging (LCI) has been shown to be effective in multiple randomized controlled trials for enhanced colorectal polyp detection. Recently, artificial intelligence (AI) with deep learning through convolutional neural networks ha...
Color Colonic Polyps Humans Neural Networks, Computer Algorithms Colonoscopy Diagnosis, Computer-Assisted
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A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos.

Scientific reports Aug 19, 2021
Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. This study proposes to screen...
Humans Photography Mass Screening Area Under Curve Automation Color Gingivitis Deep Learning Algorithms ROC Curve Reproducibility of Results Image Processing, Computer-Assisted
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Development of an artificial neural network as a tool for predicting the chemical attributes of fresh peach fruits.

PloS one Jul 30, 2021
This investigation aimed to develop a method to predict the total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids contents using surface color values (L*, Hue and chroma), single fruit w...
Neural Networks, Computer Color Anthocyanins Linear Models Ascorbic Acid Carotenoids Fruit Prunus persica
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Probing an AI regression model for hand bone age determination using gradient-based saliency mapping.

Scientific reports May 19, 2021
Understanding how a neural network makes decisions holds significant value for users. For this reason, gradient-based saliency mapping was tested on an artificial intelligence (AI) regression model for determining hand bone age from X-ray radiographs...
Humans Artificial Intelligence Algorithms Age Determination by Skeleton Hand Bones Regression Analysis Color Child
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Extracting knowledge networks from plant scientific literature: potato tuber flesh color as an exemplary trait.

BMC plant biology Apr 24, 2021
BACKGROUND: Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools. Natural language ...
Pigments, Biological Plant Tubers Natural Language Processing Data Mining Color Solanum tuberosum
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Hand Pose Understanding With Large-Scale Photo-Realistic Rendering Dataset.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 14, 2021
Hand pose understanding is essential to applications such as human computer interaction and augmented reality. Recently, deep learning based methods achieve great progress in this problem. However, the lack of high-quality and large-scale dataset pre...
Image Processing, Computer-Assisted Color Hand Databases, Factual Gestures Imaging, Three-Dimensional Humans Neural Networks, Computer
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Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.

Scientific reports Apr 13, 2021
Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome, and genotyping chip analyses was used to identify SNP markers. S...
Pigmentation Platycodon Genotype Color Flowers Genotyping Techniques Genetic Markers Machine Learning Transcriptome Polymorphism, Single Nucleotide
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Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.

The British journal of ophthalmology Mar 30, 2021
AIM: To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography.
Humans Diabetic Retinopathy Photography Optic Nerve Diseases ROC Curve Sensitivity and Specificity Color Deep Learning Fundus Oculi
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