AIMC Topic: Quality Control

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A modular deep learning pipeline for enhanced plane-wave beamforming and B-mode image quality.

Medical physics
BACKGROUND: In ultrasound imaging using plane-wave (PW) techniques, image quality and contrast often suffer, especially when examining anechoic structures. Traditional beamforming methods like Delay-and-Sum or coherent PW compounding face limitations...

Miniaturized spectroscopy and AI-driven probes in food industry automation.

Food research international (Ottawa, Ont.)
Spectroscopy is a rapidly advancing analytical technique, which is increasingly employed in the food industry as a non-destructive and rapid quality control tool. Based on spectral analysis and developed multivariate predictive models this technique ...

Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2-Stained Clinical Specimens in Breast Cancer.

Archives of pathology & laboratory medicine
CONTEXT.—: Precise determination of biomarker status is necessary for clinical trial enrollment and endpoint analyses, as well as for optimal treatment determination in real-world practice. However, variabilities may be introduced into this process d...

Simultaneous detection of citrus internal quality attributes using near-infrared spectroscopy and hyperspectral imaging with multi-task deep learning and instrumental transfer learning.

Food chemistry
Simultaneous determination of multiple quality attributes of citrus fruits using hyperspectral imaging (HSI) and near-infrared (NIR) spectroscopy and successfully transferring the models among different instruments are two main challenges. In this st...

Beyond the Hype: The potential and challenges of semi-solid extrusion 3D Printing in pharmaceutical applications through the lens of Portuguese 3D experts.

International journal of pharmaceutics
In recent years, the technological landscape has experienced a notable surge in the exploration of 3D Printing technologies (3DPT), particularly as an additive manufacturing method. Among the various 3DPT available, semi-solid extrusion 3DP (SSE-3DP)...

Automatic contour quality assurance using deep-learning based contours.

Physics in medicine and biology
Safe deployment of auto-contouring models requires the inclusion of automated quality assurance (QA). One such approach is to use two independent auto-contouring models and compare them geometrically for acceptability. This is not effective because g...

Prospective quality control in chest radiography based on the reconstructed 3D human body.

Physics in medicine and biology
Chest radiography requires effective quality control (QC) to reduce high retake rates. However, existing QC measures are all retrospective and implemented after exposure, often necessitating retakes when image quality fails to meet standards and ther...

Application of Artificial Intelligence in the Development of Traditional Chinese Medicine.

Basic & clinical pharmacology & toxicology
Traditional Chinese medicine (TCM) has long been recognized for its mild therapeutic effects, significant efficacy and minimal adverse reactions. However, challenges such as reliance on human expertise in TCM production and quality control, unclear c...

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Medical image analysis
Quality control (QC) of structures segmentation in volumetric medical images is important for identifying segmentation errors in clinical practice and for facilitating model development by enhancing network performance in semi-supervised and active l...