AIMC Topic: ROC Curve

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Classification and Segmentation of Hyperspectral Data of Hepatocellular Carcinoma Samples Using 1-D Convolutional Neural Network.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Aug 12, 2019
Pathological diagnosis plays an important role in the diagnosis and treatment of hepatocellular carcinoma (HCC). The traditional method of pathological diagnosis of most cancers requires freezing, slicing, hematoxylin and eosin staining, and manual a...
Deep Learning ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Humans Neural Networks, Computer Diagnosis, Computer-Assisted
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Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy.

European journal of cancer (Oxford, England : 1990) Aug 12, 2019
PURPOSE: New-onset pituitary gland lesions are observed in up to 18% of cancer patients undergoing treatment with immune checkpoint blockers (ICB). We aimed to develop and validate an imaging-based decision-making algorithm for use by the clinician t...
Radioimmunotherapy Humans Programmed Cell Death 1 Receptor ROC Curve Autoimmune Hypophysitis Machine Learning B7-H1 Antigen CTLA-4 Antigen Algorithms Pituitary Neoplasms Neoplasms Diagnosis, Differential
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Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema.

BMC ophthalmology Aug 9, 2019
BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals.
Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells ROC Curve Visual Acuity Diagnosis, Differential Optic Nerve Diseases Eye Diseases, Hereditary Optic Neuritis Machine Learning Reproducibility of Results Humans
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Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.

The American journal of cardiology Aug 8, 2019
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who u...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Retrospective Studies Male Humans Female ROC Curve Middle Aged Follow-Up Studies Machine Learning Survival Rate United States Coronary Angiography Severity of Illness Index Prognosis
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Deep neural networks are superior to dermatologists in melanoma image classification.

European journal of cancer (Oxford, England : 1990) Aug 8, 2019
BACKGROUND: Melanoma is the most dangerous type of skin cancer but is curable if detected early. Recent publications demonstrated that artificial intelligence is capable in classifying images of benign nevi and melanoma with dermatologist-level preci...
Neural Networks, Computer Algorithms Humans Skin Dermatologists Reproducibility of Results Image Interpretation, Computer-Assisted Surveys and Questionnaires Nevus ROC Curve Melanoma Biopsy Skin Neoplasms Dermoscopy
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MLMDA: a machine learning approach to predict and validate MicroRNA-disease associations by integrating of heterogenous information sources.

Journal of translational medicine Aug 8, 2019
BACKGROUND: Emerging evidences show that microRNA (miRNA) plays an important role in many human complex diseases. However, considering the inherent time-consuming and expensive of traditional in vitro experiments, more and more attention has been pai...
Reproducibility of Results ROC Curve Support Vector Machine Humans Disease Databases, Genetic Machine Learning MicroRNAs
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Relative Afferent Pupillary Defect Screening Through Transfer Learning.

IEEE journal of biomedical and health informatics Aug 7, 2019
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on relative afferent pupillary defect (RAPD), which is based on the differen...
Humans Machine Learning ROC Curve Telemedicine Pupil Disorders Image Interpretation, Computer-Assisted Reflex, Pupillary Pupil Diagnostic Techniques, Ophthalmological
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Detection of medical text semantic similarity based on convolutional neural network.

BMC medical informatics and decision making Aug 7, 2019
BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need to manually find and compare t...
Ultrasonography ROC Curve Information Storage and Retrieval Semantics Neural Networks, Computer Algorithms Electronic Health Records Pathology Humans
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Validation of oxidative stress assay for schizophrenia.

Schizophrenia research Aug 6, 2019
Accumulating evidence implicates oxidative stress in a range of diseases, yet no objective measurement has emerged that characterizes the global nature of oxidative stress. Previously, we reported a measurement that employs the moderately strong oxid...
ROC Curve Biological Assay Schizophrenia Iridium Male Middle Aged Oxidative Stress Female Reproducibility of Results Adult Machine Learning Biomarkers Humans
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Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram.

Scientific reports Aug 6, 2019
The electroencephalogram (EEG) is a cornerstone of neurophysiological research and clinical neurology. Historically, the classification of EEG as showing normal physiological or abnormal pathological activity has been performed by expert visual revie...
ROC Curve Humans Electroencephalography Artifacts Deep Learning Datasets as Topic
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