AIMC Topic: Reference Standards

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Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy.

Journal of applied clinical medical physics Oct 8, 2021
Radiotherapy (RT) datasets can suffer from variations in annotation of organ at risk (OAR) and target structures. Annotation standards exist, but their description for prostate targets is limited. This restricts the use of such data for supervised ma...
Humans Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Reference Standards Male Deep Learning Magnetic Resonance Imaging
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Evaluation of artificial intelligence on a reference standard based on subjective interpretation.

The Lancet. Digital health Sep 21, 2021
Observer Variation Reference Standards Clinical Decision-Making Models, Biological Humans Artificial Intelligence
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Mapping single-cell data to reference atlases by transfer learning.

Nature biotechnology Aug 30, 2021
Large single-cell atlases are now routinely generated to serve as references for analysis of smaller-scale studies. Yet learning from reference data is complicated by batch effects between datasets, limited availability of computational resources and...
Mice Datasets as Topic Reference Standards Deep Learning Single-Cell Analysis Organ Specificity Humans COVID-19 SARS-CoV-2 Animals
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Deep learning-based transformation of H&E stained tissues into special stains.

Nature communications Aug 12, 2021
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide additional contrast to different tissue components. Here, we demonstra...
Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Algorithms Coloring Agents Reference Standards Biopsy, Large-Core Needle Pathology, Clinical Kidney Kidney Diseases Diagnosis, Differential Deep Learning Staining and Labeling
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Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization.

Journal of neurotrauma Jun 10, 2021
It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe, contains distinct clinical presentations, variably referred to as subtypes, phenotypes, and/or clinical profiles. As part of the Brain Trauma Blueprint T...
Brain Injuries, Traumatic Reference Standards Humans Machine Learning Phenotype
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A self-supervised feature-standardization-block for cross-domain lung disease classification.

Methods (San Diego, Calif.) May 13, 2021
With the advance of deep learning technology, convolutional neural network (CNN) has been wildly used and achieved the state-of-the-art performances in the area of medical image classification. However, most existing medical image classification meth...
Humans Lung Diseases Neural Networks, Computer Reference Standards Lung Deep Learning
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Setting Assessment Standards for Artificial Intelligence Computer Vision Wound Annotations.

JAMA network open May 3, 2021
Intelligence Neural Networks, Computer Humans Artificial Intelligence Reference Standards Computers
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Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing.

PloS one Feb 9, 2021
Reference evapotranspiration (ETo) is a fundamental parameter for hydrological studies and irrigation management. The Penman-Monteith method is the standard to estimate ETo and requires several meteorological elements. In developing countries, the nu...
Hydrology Volatilization Models, Statistical Machine Learning Remote Sensing Technology Brazil Reference Standards
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Datasets as Topic Reference Standards Gestational Age Retinopathy of Prematurity Photography North America Humans Image Processing, Computer-Assisted Area Under Curve Birth Weight Sensitivity and Specificity Deep Learning Female Nepal Male ROC Curve Infant, Newborn Diagnosis, Computer-Assisted Reproducibility of Results
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Open Versus Robot-assisted Radical Cystectomy: Is Standardization Without Randomization Possible?

European urology Jan 20, 2021
Random Allocation Reference Standards Humans Robotic Surgical Procedures Urinary Bladder Neoplasms Cystectomy Robotics
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