AIMC Topic: Densitometry
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A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models.
Respiratory research
Nov 11, 2022
Idiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung disease of a poor prognosis, characterized by progressively worsening of lung function. Although histology is still the gold standard for PF assessment in prec...
The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.
European radiology
Dec 15, 2021
OBJECTIVE: To determine the difference in CT values and image quality of abdominal CT images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR), and deep learning reconstruction (DLR).
Validated Chromatographic Methods for the Analysis of Two Binary Mixtures Containing Pyridoxine Hydrochloride.
Journal of AOAC International
Dec 16, 2016
Accurate and precise TLC-densitometric and HPLC-diode-array detector (DAD) methods have been developed and validated to resolve two binary mixtures containing pyridoxine hydrochloride (PYH) with either cyclizine hydrochloride (CYH) or meclizine hydro...
Chromatographic Determination of Cyclopentolate Hydrochloride and Phenylephrine Hydrochloride in the Presence of Their Potential Degradation Products.
Journal of AOAC International
Nov 30, 2016
Two sensitive, selective, and precise stability-indicating methods have been developed for the simultaneous determination of the active pharmaceutical ingredients cyclopentolate hydrochloride (CLO) and phenylephrine hydrochloride (PHE) in their pure ...
Chromatographic Study of Azintamide in Bulk Powder and in Pharmaceutical Formulation in the Presence of Its Degradation Form.
Journal of AOAC International
Nov 15, 2016
Two specific, sensitive, and precise stability-indicating chromatographic methods were developed, optimized, and validated for the determination of Azintamide (AZ) in the presence of its degradation product. The first method was TLC combined with the...
Automatic Estimation of Osteoporotic Fracture Cases by Using Ensemble Learning Approaches.
Journal of medical systems
Dec 12, 2015
Ensemble learning methods are one of the most powerful tools for the pattern classification problems. In this paper, the effects of ensemble learning methods and some physical bone densitometry parameters on osteoporotic fracture detection were inves...
Optical bone densitometry robust to variation of soft tissue using machine learning techniques: validation by Monte Carlo simulation.
Journal of biomedical optics
May 1, 2022
SIGNIFICANCE: To achieve early detection of osteoporosis, a simple bone densitometry method using optics was proposed. However, individual differences in soft tissue structure and optical properties can cause errors in quantitative bone densitometry....
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