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Quality Control

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Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.

The lancet. Gastroenterology & hepatology
Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy performance. Pooled miss rates for polyps are as high as 22%, and associated interval colorectal cancers after colonoscopy are of concern. Optical biopsy, whereby...

Soybean inoculants in Brazil: an overview of quality control.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), and 5080 (Bradyrhizobium diazoefficiens) are recommended for soybean inoculants in Brazil. In several countries, the current regulations are insuffici...

High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.

Medical physics
PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that can reduce the high radiation dose of conventional CT. In general, iterative reconstruction techniques have been applied to sparsely sampled CT to re...

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Human brain mapping
Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a significant amount of manual inspection. Major artifacts, such as severe subject motion, are easy to identify to naïve observers but lack automated iden...

Learning-Based Quality Control for Cardiac MR Images.

IEEE transactions on medical imaging
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac...

New discretization method applied to NBV problem: Semioctree.

PloS one
This paper presents a discretization methodology applied to the NBV (Next Best View) problem, which consists of determining the heuristical best position of the next scan. This new methodology is a hybrid process between a homogenous voxelization and...

A robotic system to prepare IV solutions.

International journal of medical informatics
Drugs need to be used regularly and correctly in order to be effective. When medicines are used correctly, negativities that threaten human health and life can be avoided, but they can cause unwanted situations that can occur until the end of life wh...

Discovery of quality control markers from traditional Chinese medicines by fingerprint-efficacy modeling: Current status and future perspectives.

Journal of pharmaceutical and biomedical analysis
Quality control (QC) is crucial for ensuring the safety and effectiveness of traditional Chinese medicines (TCMs). Due to extremely complicated phytochemical matrices and characteristic mode of "multi-component, multi-target, integrated adjustment", ...