AIMC Topic: Principal Component Analysis
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Ultrasound texture-based CAD system for detecting neuromuscular diseases.
International journal of computer assisted radiology and surgery
Dec 2, 2014
PURPOSE: Diagnosis of neuromuscular diseases in ultrasonography is a challenging task since experts are often unable to discriminate between healthy and pathological cases. A computer-aided diagnosis (CAD) system for skeletal muscle ultrasonography w...
Terahertz time-domain spectroscopy combined with fuzzy rule-building expert system and fuzzy optimal associative memory applied to diagnosis of cervical carcinoma.
Medical oncology (Northwood, London, England)
Nov 30, 2014
Combined with terahertz time-domain spectroscopy, the feasibility of fast and reliable diagnosis of cervical carcinoma by a fuzzy rule-building expert system (FuRES) and a fuzzy optimal associative memory (FOAM) had been studied. The terahertz spectr...
Application of neural networks with novel independent component analysis methodologies to a Prussian blue modified glassy carbon electrode array.
Talanta
Aug 13, 2014
Sodium potassium absorption ratio (SPAR) is an important measure of agricultural water quality, wherein four exchangeable cations (K(+), Na(+), Ca(2+) and Mg(2+)) should be simultaneously determined. An ISE-array is suitable for this application beca...
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 5, 2014
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown great potential in prostate cancer diagnosis and staging. In the current practice of DCE-MRI, diagnosis is based on quantitative parameters extracted fr...
Pattern Recognition, Automated
Image Enhancement
Data Interpretation, Statistical
Prostatic Neoplasms
Image Interpretation, Computer-Assisted
Aged
Sensitivity and Specificity
Male
Middle Aged
Magnetic Resonance Imaging
Multimodal Imaging
Principal Component Analysis
Machine Learning
Algorithms
Computer Simulation
Reproducibility of Results
Humans
PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.
Magnetic resonance in medicine
Feb 14, 2014
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
Models, Statistical
Principal Component Analysis
Data Interpretation, Statistical
Image Interpretation, Computer-Assisted
Spinal Cord
Pattern Recognition, Automated
Image Enhancement
Computer Simulation
Reproducibility of Results
Sensitivity and Specificity
Magnetic Resonance Imaging
Machine Learning
Algorithms
Brain
Systems Integration
Subtraction Technique
Humans
Novel reliable model by integrating the discrete wavelet transform with fuzzy intelligent systems for the simultaneous spectrophotometric determination of anticancer drug and anti-acquired resistance drug in biological samples.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 15, 2025
Simultaneous measurement of drugs used to treat cancer and medications prescribed to overcome resistance to these drugs is important in pharmaceutical formulations and biological samples. In this study, a spectrophotometric method with a hybrid of di...
Integrated analysis of restraint stress in rat serum using ATR-FTIR and Raman spectroscopy with Machine learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 5, 2025
In forensic practice, accurately determining whether an individual has been subjected to prolonged restraint or assessing injuries resulting from restraint can be challenging. To address this, we explored a novel approach using attenuated total refle...
Lyophilized nasal swabs for COVID-19 detection by ATR-FTIR spectroscopy: Machine learning-based approach.
Biophysical chemistry
Sep 1, 2025
The COVID-19 pandemic continues to pose challenges for global health. The disease burden and diagnostic pressure has forced scientists to explore alternate diagnostic tools beyond the standard PCR testing. One such promising tool is the use of spectr...
Univariate versus multivariate approaches for resolving the overlapped spectra of azelastine hydrochloride and mometasone furoate.
Analytical biochemistry
Sep 1, 2025
Azelastine hydrochloride (AZE) and Mometasone furoate (MOM) combination is used to treat allergic rhinitis' symptoms. The aim of this work is to qualitatively and quantitatively analyze both medications using univariate and multivariate spectrophotom...
Demystifying food flavor: Flavor data interpretation through machine learning.
Food chemistry
Aug 15, 2025
Flavor data obtained from analytical techniques are vast and complex, which increases the difficulty of multi-factorial analysis. This study aims to provide a machine learning (ML)-based framework to interpret flavor data, exploiting four widely used...
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