AIMC Topic: Spectrum Analysis

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Deep learning-based correction of cataract-induced influence on macular pigment optical density measurement by autofluorescence spectroscopy.

PloS one Feb 13, 2024
PURPOSE: Measurements of macular pigment optical density (MPOD) using the autofluorescence spectroscopy yield underestimations of actual values in eyes with cataracts. Previously, we proposed a correction method for this error using deep learning (DL...
Spectrum Analysis Lutein Deep Learning Cataract Macular Pigment Zeaxanthins Humans Cross-Sectional Studies
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Extended-wavelength diffuse reflectance spectroscopy dataset of animal tissues for bone-related biomedical applications.

Scientific data Jan 26, 2024
Diffuse reflectance spectroscopy (DRS) has been extensively studied in both preclinical and clinical settings for multiple applications, notably as a minimally invasive diagnostic tool for tissue identification and disease delineation. In this study,...
Orthopedic Procedures Spectrum Analysis Bone and Bones Machine Learning Swine Animals Sheep
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Point-of-care diagnosis of tissue fibrosis: a review of advances in vibrational spectroscopy with machine learning.

Pathology Jan 18, 2024
Histopathology is the gold standard for diagnosing fibrosis, but its routine use is constrained by the need for additional stains, time, personnel and resources. Vibrational spectroscopy is a novel technique that offers an alternative atraumatic appr...
Humans Machine Learning Fibrosis Point-of-Care Systems Spectrum Analysis Spectrum Analysis, Raman
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Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra.

Journal of biomedical optics Jan 11, 2024
SIGNIFICANCE: Machine learning (ML)-enabled diffuse reflectance spectroscopy (DRS) is increasingly used as an alternative to the computation-intensive inverse Monte Carlo (MCI) simulation to predict tissue's optical properties, including the absorpti...
Neural Networks, Computer Monte Carlo Method Phantoms, Imaging Computer Simulation Spectrum Analysis
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Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Dec 14, 2023
Photoacoustic (PA) imaging provides optical contrast at relatively large depths within the human body, compared to other optical methods, at ultrasound (US) spatial resolution. By integrating real-time PA and US (PAUS) modalities, PAUS imaging has th...
Phantoms, Imaging Photoacoustic Techniques Diagnostic Imaging Spectrum Analysis Deep Learning Ultrasonography Humans
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Fusion of laser-induced breakdown spectroscopy technology and deep learning: a new method to identify malignant and benign lung tumors with high accuracy.

Analytical and bioanalytical chemistry Dec 8, 2023
Precisely distinguishing between malignant and benign lung tumors is pivotal for suggesting therapeutic strategies and enhancing prognosis, yet this differentiation remains a daunting task. The growth rates, metastatic potentials, and prognoses of be...
Lung Neoplasms Spectrum Analysis Lasers Humans Deep Learning
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Hyperspectral discrimination of ginseng variety and age from Changbai Mountain area.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 10, 2023
BACKGROUND: The efficacy and market value of Panax ginseng Meyer are significantly influenced by its diversity and age. Traditional identification methods are prone to subjective biases and necessitate the use of destructive sample processing, leadin...
Artificial Intelligence Algorithms Support Vector Machine Hyperspectral Imaging Spectrum Analysis Panax
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A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy.

Sensors (Basel, Switzerland) Nov 9, 2023
Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicia...
Spectrum Analysis Artificial Intelligence Dissent and Disputes Machine Learning Animals Fishes
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Rapid identification of counterfeited beef using deep learning-aided spectroscopy: Detecting colourant and curing agent adulteration.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Oct 5, 2023
The adulteration of meat products using colourants and curing agents has heightened concerns over food safety, thereby necessitating the development of advanced detection methods. This study introduces a deep-learning-based spectroscopic method for s...
Food Contamination Deep Learning Meat Products Animals Meat Cattle Spectrum Analysis
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A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction-Application in Fast Biological Spectroscopy.

IEEE transactions on neural networks and learning systems Oct 5, 2023
The nonuniform sampling (NUS) is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partially sampled exponentials is highly expected in general signal processing and many...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Spectrum Analysis
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