AIMC Topic: ROC Curve

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Deep Learning-Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 22, 2022
To improve diagnostic accuracy, myocardial perfusion imaging (MPI) SPECT studies can use CT-based attenuation correction (AC). However, CT-based AC is not available for most SPECT systems in clinical use, increases radiation exposure, and is impacted...
ROC Curve Coronary Artery Disease Sensitivity and Specificity Deep Learning Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans
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Evaluation of an Artificial Intelligence web-based software to detect and classify dental structures and treatments in panoramic radiographs.

Journal of dentistry Sep 21, 2022
OBJECTIVES: To evaluate the diagnostic reliability of a web-based Artificial Intelligence program on the detection and classification of dental structures and treatments present on panoramic radiographs.
Artificial Intelligence ROC Curve Radiography, Panoramic Software Reproducibility of Results Internet
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Deep Learning Model for Predicting Rhythm Outcomes after Radiofrequency Catheter Ablation in Patients with Atrial Fibrillation.

Journal of healthcare engineering Sep 10, 2022
Current guidelines on atrial fibrillation (AF) emphasized that radiofrequency catheter ablation (RFCA) should be decided after fully considering its prognosis. However, a robust prediction model reflecting the complex interactions between the feature...
Prognosis Humans Catheter Ablation ROC Curve Deep Learning Atrial Fibrillation
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A Study on the Prediction of Cancer Using Whole-Genome Data and Deep Learning.

International journal of molecular sciences Sep 8, 2022
The number of patients diagnosed with cancer continues to increasingly rise, and has nearly doubled in 20 years. Therefore, predicting cancer occurrence has a significant impact on reducing medical costs, and preventing cancer early can increase surv...
Neoplasms Deep Learning ROC Curve Humans Reproducibility of Results
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The effect of preprocessing filters on predictive performance in radiomics.

European radiology experimental Sep 1, 2022
BACKGROUND: Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and Laplacian-of-Gaussian filters are commonly used being thought to increase predictive performance. However...
Machine Learning ROC Curve
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Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography.

Ultrasound in medicine & biology Aug 30, 2022
The aim of the work described here was to develop an ultrasound (US) image-based deep learning model to reduce the rate of malignancy among breast lesions diagnosed as category 4A of the Breast Imaging-Reporting and Data System (BI-RADS) during the p...
Humans Retrospective Studies Female Ultrasonography, Mammary Breast Neoplasms Ultrasonography Deep Learning ROC Curve
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Development and validation of a deep learning-based protein electrophoresis classification algorithm.

PloS one Aug 24, 2022
BACKGROUND: Protein electrophoresis (PEP) is an important tool in supporting the analytical characterization of protein status in diseases related to monoclonal components, inflammation, and antibody deficiency. Here, we developed a deep learning-bas...
Reproducibility of Results Deep Learning Algorithms ROC Curve Neural Networks, Computer Electrophoresis
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Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset.

Scientific reports Aug 19, 2022
In this study, we tested and compared radiomics and deep learning-based approaches on the public LUNG1 dataset, for the prediction of 2-year overall survival (OS) in non-small cell lung cancer patients. Radiomic features were extracted from the gross...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung ROC Curve Humans Neural Networks, Computer Deep Learning
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Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study.

Scientific reports Aug 19, 2022
Early detection and treatment of diseases through health checkups are effective in improving life expectancy. In this study, we compared the predictive ability for 5-year mortality between two machine learning-based models (gradient boosting decision...
Logistic Models ROC Curve Humans Neural Networks, Computer Machine Learning Risk Assessment
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Pneumonia Detection in Chest X-Ray Images Using Enhanced Restricted Boltzmann Machine.

Journal of healthcare engineering Aug 12, 2022
The process of pneumonia detection has been the focus of researchers as it has proved itself to be one of the most dangerous and life-threatening disorders. In recent years, many machine learning and deep learning algorithms have been applied in an a...
Humans Machine Learning X-Rays Algorithms ROC Curve Pneumonia
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