AIMC Topic: Quality Control
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Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study.
Computer methods and programs in biomedicine
Mar 17, 2021
BACKGROUND AND OBJECTIVE: Previous studies developed artificial intelligence (AI) diagnostic systems only using eligible slit-lamp images for detecting corneal diseases. However, images of ineligible quality (including poor-field, defocused, and poor...
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.
Medical image analysis
Mar 11, 2021
Recent developments in artificial intelligence have generated increasing interest to deploy automated image analysis for diagnostic imaging and large-scale clinical applications. However, inaccuracy from automated methods could lead to incorrect conc...
seqQscorer: automated quality control of next-generation sequencing data using machine learning.
Genome biology
Mar 5, 2021
Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterize common NGS quality features and develop a novel quality control procedure involving tree-based ...
Single Cell RNA-Seq and Machine Learning Reveal Novel Subpopulations in Low-Grade Inflammatory Monocytes With Unique Regulatory Circuits.
Frontiers in immunology
Feb 23, 2021
Subclinical doses of LPS (SD-LPS) are known to cause low-grade inflammatory activation of monocytes, which could lead to inflammatory diseases including atherosclerosis and metabolic syndrome. Sodium 4-phenylbutyrate is a potential therapeutic compou...
Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
The British journal of radiology
Feb 22, 2021
OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR).
Aged, 80 and over
Adult
Male
Tomography, X-Ray Computed
Female
Aged
Contrast Media
Radiographic Image Interpretation, Computer-Assisted
Quality Control
Radiation Dosage
Middle Aged
Neoplasms
Deep Learning
Algorithms
Prospective Studies
Humans
Signal-To-Noise Ratio
Postoperative Period
Whole Body Imaging
Vision-based egg quality prediction in Pacific bluefin tuna (Thunnus orientalis) by deep neural network.
Scientific reports
Jan 12, 2021
Closed-cycle aquaculture using hatchery produced seed stocks is vital to the sustainability of endangered species such as Pacific bluefin tuna (Thunnus orientalis) because this aquaculture system does not depend on aquaculture seeds collected from th...
Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.
Osteoarthritis and cartilage
Jan 8, 2021
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.
Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy.
Surgical endoscopy
Jan 7, 2021
BACKGROUND: Esophagogastroduodenoscopy (EGD) is generally a safe procedure, but adverse events often occur. This highlights the necessity of the quality control of EGD. Complete visualization and photo documentation of upper gastrointestinal (UGI) tr...
Testing a convolutional neural network-based hippocampal segmentation method in a stroke population.
Human brain mapping
Oct 16, 2020
As stroke mortality rates decrease, there has been a surge of effort to study poststroke dementia (PSD) to improve long-term quality of life for stroke survivors. Hippocampal volume may be an important neuroimaging biomarker in poststroke dementia, a...
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping.
Artificial intelligence in medicine
Sep 7, 2020
Cardiac magnetic resonance quantitative T1-mapping is increasingly used for advanced myocardial tissue characterisation. However, cardiac or respiratory motion can significantly affect the diagnostic utility of T1-maps, and thus motion artefact detec...
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