AIMC Topic:
ROC Curve

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Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Japanese journal of radiology Mar 19, 2019
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate between benign and malignant breast mass images from ultrasound.
Diagnosis, Differential Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning ROC Curve Neural Networks, Computer Databases, Factual Retrospective Studies Female Reproducibility of Results Humans
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MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.

IEEE transactions on medical imaging Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
Image Interpretation, Computer-Assisted Brain Concussion Diffusion Magnetic Resonance Imaging Algorithms Databases, Factual Brain Young Adult Adult Middle Aged Deep Learning Adolescent ROC Curve Humans
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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma.

Oral oncology Mar 16, 2019
OBJECTIVES: To develop and validate an algorithm to predict occult nodal metastasis in clinically node negative oral cavity squamous cell carcinoma (OCSCC) using machine learning. To compare algorithm performance to a model based on tumor depth of in...
Humans Artificial Intelligence Machine Learning Algorithms Databases, Factual Prognosis Female Carcinoma, Squamous Cell Aged Sensitivity and Specificity Male Models, Theoretical Middle Aged Lymphatic Metastasis ROC Curve Neoplasm Grading Mouth Neoplasms
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Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

European journal of radiology Mar 15, 2019
PURPOSE: To evaluate the performance of a multi-parametric MRI (mp-MRI)-based radiomics signature for discriminating between clinically significant prostate cancer (csPCa) and insignificant PCa (ciPCa).
Retrospective Studies Aged Sensitivity and Specificity Male Humans ROC Curve Magnetic Resonance Imaging Machine Learning Prostatic Neoplasms Algorithms Neoplasm Grading
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Deep Learning versus Conventional Machine Learning for Detection of Healthcare-Associated Infections in French Clinical Narratives.

Methods of information in medicine Mar 15, 2019
OBJECTIVE: The objective of this article was to compare the performances of health care-associated infection (HAI) detection between deep learning and conventional machine learning (ML) methods in French medical reports.
Humans Neural Networks, Computer Hospitals Deep Learning ROC Curve France Cross Infection
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A dense multi-path decoder for tissue segmentation in histopathology images.

Computer methods and programs in biomedicine Mar 14, 2019
BACKGROUND AND OBJECTIVE: Segmenting different tissue components in histopathological images is of great importance for analyzing tissues and tumor environments. In recent years, an encoder-decoder family of convolutional neural networks has increasi...
Prostate Breast Epithelium Pattern Recognition, Automated Neural Networks, Computer Histology Software Humans Algorithms Male ROC Curve Female Image Processing, Computer-Assisted Reproducibility of Results Area Under Curve
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Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.

IEEE journal of biomedical and health informatics Mar 11, 2019
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little post-treatment prognostic information reported. This study proposes a novel neural network based paradigm for accurate prediction of liver SBRT outcomes....
Algorithms Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer ROC Curve Kaplan-Meier Estimate Male Liver Neoplasms Middle Aged Liver Disease Progression Radiotherapy Planning, Computer-Assisted Deep Learning Radiosurgery
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Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.

International journal of computer assisted radiology and surgery Mar 9, 2019
PURPOSE: Dual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bone mineral density (BMD). Patients with breast and prostate cancer are often treated with hormone-altering drugs that result in low BMD. These patients...
Spinal Neoplasms Absorptiometry, Photon Osteoblastoma Humans ROC Curve Retrospective Studies Support Vector Machine Tomography, X-Ray Computed Lumbar Vertebrae Female Neoplasm Metastasis Aged Male Middle Aged Pilot Projects
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NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

PloS one Mar 8, 2019
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.
Neuropsychological Tests ROC Curve Aged, 80 and over Diagnosis, Computer-Assisted Humans Adult Surveys and Questionnaires Mass Screening Machine Learning Sensitivity and Specificity Cognitive Dysfunction Diagnosis, Differential Female Male Dementia Area Under Curve Aged Middle Aged Geriatric Assessment
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A combined drug discovery strategy based on machine learning and molecular docking.

Chemical biology & drug design Mar 7, 2019
Data mining methods based on machine learning play an increasingly important role in drug design and discovery. In the current work, eight machine learning methods including decision trees, k-Nearest neighbor, support vector machines, random forests,...
Machine Learning Databases, Factual Area Under Curve Inhibitory Concentration 50 Molecular Docking Simulation Crystallography, X-Ray Drug Discovery Binding Sites ROC Curve Protein Structure, Tertiary Principal Component Analysis
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