AIMC Topic: Melanins

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Deep-learning-enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology.

Journal of biomedical optics Apr 20, 2025
SIGNIFICANCE: Spatial frequency domain imaging (SFDI) is an emerging optical imaging modality for visualizing tissue absorption and scattering properties. This approach is promising for noninvasive wide field-of-view (FOV) monitoring of biophysiologi...
Humans Neural Networks, Computer Deep Learning Melanins Optical Imaging Skin Physiological Phenomena Image Processing, Computer-Assisted Skin Hemoglobins
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Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering.

Journal of biomedical optics Sep 6, 2024
SIGNIFICANCE: Hyperspectral cameras capture spectral information at each pixel in an image. Acquired spectra can be analyzed to estimate quantities of absorbing and scattering components, but the use of traditional fitting algorithms over megapixel i...
Deep Learning Image Processing, Computer-Assisted Monte Carlo Method Hemoglobins Humans Hyperspectral Imaging Scattering, Radiation Neural Networks, Computer Fingers Algorithms Melanins
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Spectrum-based deep learning framework for dermatological pigment analysis and simulation.

Computers in biology and medicine Jun 15, 2024
BACKGROUND: Deep learning in dermatology presents promising tools for automated diagnosis but faces challenges, including labor-intensive ground truth preparation and a primary focus on visually identifiable features. Spectrum-based approaches offer ...
Image Processing, Computer-Assisted Skin Hemoglobins Humans Melanins Deep Learning Skin Pigmentation
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Deep learning-based pigment analysis model trained with optical approach and ground truth assistance.

Journal of biophotonics Sep 17, 2023
This study introduces an integrated training method combining the optical approach with ground truth for skin pigment analysis. Deep learning is increasingly applied to skin pigment analysis, primarily melanin and hemoglobin. While regression analysi...
Image Processing, Computer-Assisted Skin Hemoglobins Deep Learning Melanins
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Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance.

Japanese journal of radiology May 31, 2023
PURPOSE: Neuromelanin-sensitive MRI (NM-MRI) has proven useful for diagnosing Parkinson's disease (PD) by showing reduced signals in the substantia nigra (SN) and locus coeruleus (LC), but requires a long scan time. The aim of this study was to asses...
Melanins Humans Deep Learning Magnetic Resonance Imaging Parkinson Disease Substantia Nigra
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Deep learning-based optical approach for skin analysis of melanin and hemoglobin distribution.

Journal of biomedical optics Mar 27, 2023
SIGNIFICANCE: Melanin and hemoglobin have been measured as important diagnostic indicators of facial skin conditions for aesthetic and diagnostic purposes. Commercial clinical equipment provides reliable analysis results, but it has several drawbacks...
Hemoglobins Face Melanins Deep Learning Skin Humans
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Deep Learning-Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder.

Movement disorders : official journal of the Movement Disorder Society Feb 1, 2022
BACKGROUND: Isolated REM sleep behavior disorder (iRBD) is considered a prodromal stage of parkinsonism. Neurodegenerative changes in the substantia nigra pars compacta (SNc) in parkinsonism can be detected using neuromelanin-sensitive MRI.
Parkinson Disease Parkinsonian Disorders Melanins Substantia Nigra REM Sleep Behavior Disorder Humans Deep Learning Magnetic Resonance Imaging
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Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson's disease using neuromelanin-sensitive MRI.

International journal of computer assisted radiology and surgery Nov 19, 2021
PURPOSE: Development and performance measurement of a fully automated pipeline that localizes and segments the locus coeruleus in so-called neuromelanin-sensitive magnetic resonance imaging data for the derivation of quantitative biomarkers of neurod...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Parkinson Disease Melanins Locus Coeruleus
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Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI.

NeuroImage. Clinical Mar 6, 2019
Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease (PD) as PD is characterized by loss of dopaminergic neurons in the SNc. Curre...
Neuroimaging Middle Aged Supranuclear Palsy, Progressive Diagnosis, Differential Melanins Deep Learning Female Substantia Nigra Humans Multiple System Atrophy Image Processing, Computer-Assisted Sensitivity and Specificity Biomarkers Magnetic Resonance Imaging Male Parkinson Disease
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Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.

Nature biomedical engineering Mar 4, 2019
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and laborious tissue preparation. Here, we show that a convolutional neural network trained using a generative adversarial-network model can transform wi...
Melanins Staining and Labeling Liver Reference Standards Algorithms Deep Learning Humans Lung Image Processing, Computer-Assisted Neural Networks, Computer Fluorescence
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