AIMC Topic: ROC Curve

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Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.

Investigative radiology Jun 1, 2019
OBJECTIVES: We investigated artificial intelligence (AI)-based classification of benign and malignant breast lesions imaged with a multiparametric breast magnetic resonance imaging (MRI) protocol with ultrafast dynamic contrast-enhanced MRI, T2-weigh...
Humans Artificial Intelligence Retrospective Studies Female Contrast Media Breast Image Enhancement Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Adult Sensitivity and Specificity Breast Neoplasms Middle Aged ROC Curve
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Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
Pancreatectomy Preoperative Period Pancreatic Intraductal Neoplasms Male Middle Aged Disease Progression Deep Learning ROC Curve Image Processing, Computer-Assisted Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Endosonography Pancreas Retrospective Studies Female Aged Aged, 80 and over Humans Adult
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A new method using machine learning for automated image analysis applied to chip-based digital assays.

The Analyst May 13, 2019
Chip-based digital assays such as the digital polymerase chain reaction (digital PCR), digital loop-mediated amplification (digital LAMP), digital enzyme-linked immunosorbent assay (digital ELISA) and digital proximity ligation assay (digital PLA) ne...
Microfluidic Analytical Techniques ROC Curve Single-Cell Analysis Image Processing, Computer-Assisted Humans A549 Cells Machine Learning Optical Imaging Fluorescence
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Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.

Medicine May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Prognosis Female Risk Factors Aged Aged, 80 and over Humans Neural Networks, Computer Logistic Models Regression Analysis Predictive Value of Tests Neoplasm Staging Cigarette Smoking Adult Male Middle Aged ROC Curve Lung Neoplasms Kaplan-Meier Estimate Adenocarcinoma of Lung Genomic Library
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Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography.

Korean journal of radiology May 1, 2019
OBJECTIVE: To investigate whether a computer-aided diagnosis (CAD) system based on a deep learning framework (deep learning-based CAD) improves the diagnostic performance of radiologists in differentiating between malignant and benign masses on breas...
Middle Aged Retrospective Studies Area Under Curve Deep Learning Humans Female Breast Ultrasonography Adult ROC Curve Sensitivity and Specificity Image Processing, Computer-Assisted Breast Neoplasms
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Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports.

JCO clinical cancer informatics Apr 1, 2019
PURPOSE: Although the bulk of patient-generated health data are increasing exponentially, their use is impeded because most data come in unstructured format, namely as free-text clinical reports. A variety of natural language processing (NLP) methods...
Research Report Medical Informatics ROC Curve Magnetic Resonance Imaging Natural Language Processing Radiology Humans Algorithms Electronic Health Records Reproducibility of Results Brain Neoplasms
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Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

Medicine Apr 1, 2019
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...
Female Male Middle Aged ROC Curve Support Vector Machine Diagnosis, Differential Predictive Value of Tests Area Under Curve Neoplasm Grading Kidney Neoplasms Carcinoma, Renal Cell Humans Retrospective Studies Tomography, X-Ray Computed
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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Infections Adult Patient Admission Male Hematologic Tests Clinical Decision-Making Middle Aged Decision Support Systems, Clinical Female Cohort Studies Humans Follow-Up Studies ROC Curve Aged Algorithms Supervised Machine Learning Aged, 80 and over Biomarkers Disease Management Young Adult Prognosis Diagnostic Tests, Routine
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Deep Learning Approach for Assessment of Bladder Cancer Treatment Response.

Tomography (Ann Arbor, Mich.) Mar 1, 2019
We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models for bladder cancer treatment response assessment based on transfer learning by freezing different DL-CNN layers and varying the DL-CNN structure. Pre-...
Urinary Bladder Neoplasms Transfer, Psychology Deep Learning Humans Drug Monitoring ROC Curve Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Decision Support Systems, Clinical Sensitivity and Specificity Cystectomy Treatment Outcome Urography Antineoplastic Agents Neoadjuvant Therapy
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Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

Journal of glaucoma Mar 1, 2019
UNLABELLED: PRéCIS:: The novel proposed algorithm using deep learning classifier and polar transformation technique can be an economical as well as an effective tool for early detection of glaucomatous RNFL defect.
ROC Curve Area Under Curve Tomography, Optical Coherence Image Interpretation, Computer-Assisted Humans Retinal Ganglion Cells Nerve Fibers Intraocular Pressure Retrospective Studies Ophthalmologic Surgical Procedures Male Female Diagnostic Techniques, Ophthalmological Middle Aged Adult Photography Deep Learning Glaucoma, Open-Angle
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