AIMC Topic: ROC Curve

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Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.

IEEE journal of biomedical and health informatics Feb 14, 2019
Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central regi...
Humans Neural Networks, Computer Glaucoma ROC Curve Optic Disk Diagnostic Techniques, Ophthalmological Retina Image Interpretation, Computer-Assisted
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Highly accelerated, model-free diffusion tensor MRI reconstruction using neural networks.

Medical physics Feb 14, 2019
PURPOSE: The purpose of this study was to develop a neural network that accurately performs diffusion tensor imaging (DTI) reconstruction from highly accelerated scans.
Humans Neural Networks, Computer Algorithms Prospective Studies ROC Curve Retrospective Studies Healthy Volunteers Glioblastoma Diffusion Tensor Imaging Female Diffusion Magnetic Resonance Imaging Aged Male
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An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Myocardium Heart Failure Heart Transplantation Pathology, Molecular Child ROC Curve Predictive Value of Tests Graft Rejection Aged Humans Adolescent Middle Aged Young Adult Machine Learning Cohort Studies Adult Risk Assessment Algorithms Child, Preschool Male Female
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An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal of the American College of Radiology : JACR Feb 4, 2019
PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-bas...
Clinical Decision-Making Female Aged Stomach Neoplasms Machine Learning Databases, Factual Prognosis Retrospective Studies Lymph Nodes Lymphatic Metastasis Neoplasm Invasiveness Predictive Value of Tests Neoplasm Staging Male Middle Aged ROC Curve Decision Support Systems, Clinical Humans Gastrectomy Multidetector Computed Tomography Preoperative Care
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Ultrasonography, Doppler Neoplasm Invasiveness Adult Area Under Curve Sensitivity and Specificity Neural Networks, Computer Neoplasm Staging Cohort Studies Humans Male Databases, Factual Thyroid Nodule Observer Variation Thyroid Neoplasms Retrospective Studies Middle Aged ROC Curve Female Image Processing, Computer-Assisted
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Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Ophthalmology. Retina Jan 31, 2019
PURPOSE: Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has important implications for the quality of ophthalmic diagnoses and for emerging methods such as telemedicine and computer-based image analysis. The purpose of...
Ophthalmoscopy Humans Retinopathy of Prematurity Neural Networks, Computer Male Female Algorithms ROC Curve Infant, Newborn Image Processing, Computer-Assisted
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Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Academic radiology Jan 30, 2019
RATIONALE AND OBJECTIVES: To use machine learning-based magnetic resonance imaging radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer.
Retrospective Studies Female Male Middle Aged Humans Magnetic Resonance Imaging Algorithms Rectal Neoplasms ROC Curve Rectum Neoplasm Metastasis Liver Neoplasms Adenocarcinoma Support Vector Machine
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Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

International journal of environmental research and public health Jan 29, 2019
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health condit...
Mexico Health Status Area Under Curve Early Diagnosis Middle Aged Humans Neural Networks, Computer ROC Curve Female Models, Theoretical Adult Diabetes Mellitus Male
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Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters.

Journal of chemical information and modeling Jan 25, 2019
Assay interference caused by small molecules continues to pose a significant challenge for early drug discovery. A number of rule-based and similarity-based approaches have been derived that allow the flagging of potentially "badly behaving compounds...
Protein Binding Proteins Models, Molecular Machine Learning ROC Curve Databases, Pharmaceutical Pharmaceutical Preparations High-Throughput Screening Assays Binding Sites Small Molecule Libraries
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tRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results.

Human heredity Jan 25, 2019
BACKGROUND: tRNAscan-SE is the leading tool for transfer RNA (tRNA) annotation, which has been widely used in the field. However, tRNAscan-SE can return a significant number of false positives when applied to large sequences. Recently, conventional m...
RNA, Transfer Deep Learning Humans ROC Curve Neural Networks, Computer Models, Theoretical Software Area Under Curve Algorithms
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