AIMC Topic: False Positive Reactions

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3D multi-scale deep convolutional neural networks for pulmonary nodule detection.

PloS one Jan 7, 2021
With the rapid development of big data and artificial intelligence technology, computer-aided pulmonary nodule detection based on deep learning has achieved some successes. However, the sizes of pulmonary nodules vary greatly, and the pulmonary nodul...
Deep Learning Imaging, Three-Dimensional Lung Neoplasms False Positive Reactions Humans Tomography, X-Ray Computed
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MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.

Physics in medicine and biology Dec 5, 2020
Pulmonary nodule false-positive reduction is of great significance for automated nodule detection in clinical diagnosis of low-dose computed tomography (LDCT) lung cancer screening. Due to individual intra-nodule variations and visual similarities be...
Tomography, X-Ray Computed Early Detection of Cancer Imaging, Three-Dimensional False Positive Reactions Lung Neoplasms Humans Solitary Pulmonary Nodule Neural Networks, Computer
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Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission.

PloS one Nov 17, 2020
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma patients. The National Trauma Data Bank (NTDB) provided 799233 complete patient records (778303 survivors and 20930 deaths) each containing 32 featur...
Heart Rate Probability Databases, Factual Humans Reproducibility of Results Sex Factors Injury Severity Score Machine Learning Hospitalization False Positive Reactions Risk Algorithms ROC Curve Wounds and Injuries Glasgow Coma Scale
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DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning.

eLife Nov 3, 2020
Single-molecule Förster Resonance energy transfer (smFRET) is an adaptable method for studying the structure and dynamics of biomolecules. The development of high throughput methodologies and the growth of commercial instrumentation have outpaced the...
Single Molecule Imaging Normal Distribution Nanotechnology Algorithms Markov Chains Software Fluorescent Dyes Reproducibility of Results Fluorescence Resonance Energy Transfer Signal Processing, Computer-Assisted False Positive Reactions Deep Learning Kinetics User-Computer Interface Molecular Dynamics Simulation
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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning.

Nature communications Aug 27, 2020
The early detection and accurate histopathological diagnosis of gastric cancer increase the chances of successful treatment. The worldwide shortage of pathologists offers a unique opportunity for the use of artificial intelligence assistance systems ...
Databases, Factual Stomach Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted False Positive Reactions
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Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
Radiography, Thoracic Databases, Factual Equipment Design Thorax Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans X-Rays Sensitivity and Specificity Computer Systems Neural Networks, Computer Tuberculosis, Pulmonary Diagnosis, Computer-Assisted Algorithms ROC Curve False Positive Reactions Area Under Curve
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A robust convolutional neural network for lung nodule detection in the presence of foreign bodies.

Scientific reports Jul 31, 2020
Lung cancer is a major cause of death worldwide. As early detection can improve outcome, regular screening is of great interest, especially for certain risk groups. Besides low-dose computed tomography, chest X-ray is a potential option for screening...
Solitary Pulmonary Nodule False Positive Reactions Foreign Bodies Humans Neural Networks, Computer Tomography, X-Ray Computed Lung
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Humans Observer Variation Machine Learning Medical Informatics Software Smoking Electronic Health Records Automation Support Vector Machine Algorithms False Positive Reactions Pattern Recognition, Automated Natural Language Processing Research Design Reproducibility of Results Tobacco Use Disorder Bayes Theorem Sweden Data Mining ROC Curve
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Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, a...
Image Processing, Computer-Assisted Models, Statistical Pattern Recognition, Automated False Positive Reactions Maxillary Sinus Tomography, X-Ray Computed Humans Reproducibility of Results Diagnosis, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Software Algorithms
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Interactive machine learning for soybean seed and seedling quality classification.

Scientific reports Jul 9, 2020
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to propose an approach based on inte...
Seeds Principal Component Analysis Germination Seedlings Algorithms Reproducibility of Results Image Processing, Computer-Assisted False Positive Reactions Glycine max Artificial Intelligence Machine Learning Software
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