AIMC Topic: ROC Curve

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An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.

Scientific reports Apr 26, 2018
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution. In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in shape. Moreover, the features of cancer region are very similar to n...
Image Processing, Computer-Assisted Thyroid Cancer, Papillary Adolescent Child Ultrasonography ROC Curve Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning Humans Software Algorithms Female
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Assessing Breast Cancer Risk with an Artificial Neural Network.

Asian Pacific journal of cancer prevention : APJCP Apr 25, 2018
Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast cancer risk. Artificial intelligence and machine learning techniques have been widely applied in detection/recognition of cancer. This study aimed to esta...
Breast Aged Breast Neoplasms Middle Aged Case-Control Studies Diagnosis, Computer-Assisted ROC Curve Follow-Up Studies Mammography Algorithms Prognosis Retrospective Studies Female Humans Neural Networks, Computer Machine Learning
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Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.

Bone Apr 24, 2018
INTRODUCTION: The aim of this study was to build and validate five types of machine learning models that can predict the occurrence of BRONJ associated with dental extraction in patients taking bisphosphonates for the management of osteoporosis.
Humans Neural Networks, Computer ROC Curve Support Vector Machine Decision Trees Area Under Curve Tooth Extraction Machine Learning Female Aged Male Bisphosphonate-Associated Osteonecrosis of the Jaw
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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.

PloS one Apr 19, 2018
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussing on (i) usefulness of the conventional CADx system (hand-crafted imaging feature + machine learning algorithm), (ii) comparison between support vect...
Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Area Under Curve Bayes Theorem Humans Tomography, X-Ray Computed Machine Learning Diagnosis, Computer-Assisted Algorithms ROC Curve Databases, Factual Image Processing, Computer-Assisted
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A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms.

Journal of healthcare engineering Apr 18, 2018
The accurate and efficient segmentation of coronary arteries in X-ray angiograms represents an essential task for computer-aided diagnosis. This paper presents a new multiscale Gaussian-matched filter (MGMF) based on artificial neural networks. The p...
Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Normal Distribution X-Rays Radiographic Image Enhancement Humans Neural Networks, Computer Algorithms
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Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

Journal of magnetic resonance imaging : JMRI Apr 16, 2018
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI).
Databases, Factual Retrospective Studies Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Software Predictive Value of Tests Area Under Curve Prostatic Neoplasms Pattern Recognition, Automated Diffusion Magnetic Resonance Imaging Male Diagnosis, Computer-Assisted Deep Learning ROC Curve
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Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 16, 2018
With increased use of electronic medical records (EMRs), data mining on medical data has great potential to improve the quality of hospital treatment and increase the survival rate of patients. Early readmission prediction enables early intervention,...
ROC Curve Models, Statistical Data Mining Patient Readmission Algorithms Electronic Health Records Deep Learning Humans
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Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes. Predicting dynamics of complexity in such patients can potentially help improve the quality of care...
Child Health Services Patient Acuity Data Mining Child Humans Datasets as Topic Logistic Models ROC Curve Neural Networks, Computer Clinical Coding Electronic Health Records Longitudinal Studies Area Under Curve
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Stage-Specific Survivability Prediction Models across Different Cancer Types.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
For all cancer types, survivability rates vary widely across different stages of cancer. But survivability prediction models built in past were trained using examples of all stages together and were also evaluated on all stages together. In this work...
Datasets as Topic Humans ROC Curve Machine Learning Models, Theoretical Prognosis Neoplasm Staging Neoplasms Survival Analysis
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Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Models have been developed to predict stroke outcomes (e.g., mortality) in attempt to provide better guidance for stroke treatment. However, there is little work in developing classification models for the problem of unknown time-since-stroke (TSS), ...
Magnetic Resonance Imaging Humans Machine Learning Brain Ischemia Female Middle Aged Regression Analysis Prognosis Aged Deep Learning Area Under Curve Sensitivity and Specificity ROC Curve Stroke Male Support Vector Machine
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