AIMC Topic: Color

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ML-based tooth shade assessment to prevent metamerism in different clinic lights.

Lasers in medical science Jan 24, 2025
The aesthetic understanding has found its place in dental clinics and prosthetic dental treatment. Determining the appropriate prosthetic tooth color between the clinician, patient and technician is a difficult process due to metamerism. Metamerism, ...
Machine Learning Algorithms Color Humans Esthetics, Dental Lighting Tooth Prosthesis Coloring
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Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jan 16, 2025
The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsistencies in the production of whole slide images (WSIs). This causes degraded AI performance and poses a challenge for widespread clinical application, ...
Image Interpretation, Computer-Assisted Humans Calibration Color Artificial Intelligence Prostatic Neoplasms Male Neoplasm Grading
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Genome-wide association study on color-image-based convolutional neural networks.

PeerJ Jan 13, 2025
BACKGROUND: Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Genotype Color Convolutional Neural Networks Genome-Wide Association Study
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The Influence of Surface Treatment on the Color of Enamel and Dentin: An In Vitro Study Using Machine Learning-Based Analysis.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Jan 6, 2025
OBJECTIVE: To investigate how surface treatment affects the color of enamel and dentin, and to evaluate whether the color differences are acceptable.
Machine Learning In Vitro Techniques Color Humans Surface Properties Acid Etching, Dental Phosphoric Acids Dental Enamel Dentin Microscopy, Atomic Force
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Learnable color space conversion and fusion for stain normalization in pathology images.

Medical image analysis Dec 24, 2024
Variations in hue and contrast are common in H&E-stained pathology images due to differences in slide preparation across various institutions. Such stain variations, while not affecting pathologists much in diagnosing the biopsy, pose significant cha...
Staining and Labeling Algorithms Humans Color Deep Learning Machine Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Identifying the presence of atrial fibrillation during sinus rhythm using a dual-input mixed neural network with ECG coloring technology.

BMC medical research methodology Dec 23, 2024
BACKGROUND: Undetected atrial fibrillation (AF) poses a significant risk of stroke and cardiovascular mortality. However, diagnosing AF in real-time can be challenging as the arrhythmia is often not captured instantly. To address this issue, a deep-l...
Male Middle Aged Deep Learning Humans Reproducibility of Results Electrocardiography Neural Networks, Computer Aged Female Color Atrial Fibrillation
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Alternative assessment of machine learning to polynomial regression in response surface methodology for predicting decolorization efficiency in textile wastewater treatment.

Chemosphere Dec 20, 2024
This study investigated the potential of machine learning (ML) as a substitute for polynomial regression in conventional response surface methodology (RSM) for decolorizing textile wastewater via a UV/HO process. While polynomial regression offers li...
Textiles Textile Industry Regression Analysis Color Ultraviolet Rays Waste Disposal, Fluid Water Pollutants, Chemical Machine Learning Wastewater Hydrogen Peroxide
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Development of Deep Learning-Based Virtual Lugol Chromoendoscopy for Superficial Esophageal Squamous Cell Carcinoma.

Journal of gastroenterology and hepatology Dec 17, 2024
BACKGROUND: Lugol chromoendoscopy has been shown to increase the sensitivity of detection of esophageal squamous cell carcinoma (ESCC). We aimed to develop a deep learning-based virtual lugol chromoendoscopy (V-LCE) method.
Iodides Male Middle Aged Esophageal Squamous Cell Carcinoma Deep Learning Female Esophagoscopy Color Aged Humans Sensitivity and Specificity Esophageal Neoplasms Coloring Agents
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Porkolor: A deep learning framework for pork color classification.

Meat science Dec 12, 2024
Pork color is crucial for assessing its safety and freshness, and traditional methods of observing through human eyes are inefficient and subjective. In recent years, several methods have been proposed based on computer vision and deep learning have ...
Animals Swine Deep Learning Image Processing, Computer-Assisted Color Pork Meat
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Machine-Learning-Based Spectral Modeling: A Biomimetic Guide for Enhancing Esthetics.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Dec 8, 2024
OBJECTIVE: To provide guidelines and means for optimal coverage and distribution of computer models with 1-10 clusters, designed based on an in vivo extensive dental colorimetric database and compare the findings with some reputable shade guides.
Prosthesis Coloring Esthetics, Dental Algorithms Colorimetry Fuzzy Logic Color Biomimetics Dental Prosthesis Design Humans Machine Learning
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