AIMC Topic: Area Under Curve

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A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

Tissue & cell Feb 20, 2020
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. T...
Image Processing, Computer-Assisted Uterine Cervical Neoplasms Area Under Curve Deep Learning Models, Biological ROC Curve Databases as Topic Papanicolaou Test Humans Neural Networks, Computer Algorithms Female
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Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

Epilepsia Feb 20, 2020
OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia type IIb and cortical tuber of tuberous sclerosis complex remains challenging. Both entities are distinct subtypes of human malformations of cortical de...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning ROC Curve Tuberous Sclerosis Cerebral Cortex Area Under Curve Proof of Concept Study Epilepsy Malformations of Cortical Development, Group I Internet Neuropathology Neurons
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Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

European radiology Feb 14, 2020
OBJECTIVES: To investigate whether a deep learning model can predict the bone mineral density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) images.
Lumbar Vertebrae Absorptiometry, Photon Deep Learning Humans ROC Curve Bone Density Abdomen Aged Retrospective Studies Area Under Curve Adult Osteoporosis Male Tomography, X-Ray Computed Middle Aged Female Reproducibility of Results
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Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach.

Translational vision science & technology Feb 14, 2020
PURPOSE: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blo...
Area Under Curve Ophthalmoscopy Retinopathy of Prematurity Humans Retinal Vessels Neural Networks, Computer Infant, Newborn Child
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Assessment of knee pain from MR imaging using a convolutional Siamese network.

European radiology Feb 13, 2020
OBJECTIVES: It remains difficult to characterize the source of pain in knee joints either using radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced machine learning methods such as deep neural networks could distinguis...
Male Middle Aged Severity of Illness Index Deep Learning Humans Neural Networks, Computer Female Aged Magnetic Resonance Imaging Area Under Curve Arthralgia Radiography Knee Joint Osteoarthritis, Knee Knee Synovitis
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Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

Ultrasound in medicine & biology Feb 12, 2020
To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging, we propose a computer-aided diagnosis based on a convolutional neural network (CNN) that classifies breast lesions as benign and malignant. The prop...
Area Under Curve Ultrasonography, Mammary Image Interpretation, Computer-Assisted Breast Diseases Breast Neoplasms Middle Aged Deep Learning Principal Component Analysis Humans Neural Networks, Computer Retrospective Studies Female Aged Adult
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Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.

Physical and engineering sciences in medicine Feb 11, 2020
Given the patient to doctor ratio of 50,000:1 in low income and middle-income countries, there is a need for automated heart sound classification system that can screen the Phonocardiogram (PCG) records in real-time. This paper proposes deep neural n...
Humans Area Under Curve Neural Networks, Computer ROC Curve Heart Sounds Models, Theoretical Phonocardiography
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Combined Use of Three Machine Learning Modeling Methods to Develop a Ten-Gene Signature for the Diagnosis of Ventilator-Associated Pneumonia.

Medical science monitor : international medical journal of experimental and clinical research Feb 7, 2020
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random forest analysis, and fully-connected neural network analysis, to develop a diagnostic gene signature for the diagnosis of ventilator-associated pneumonia ...
Humans Machine Learning Algorithms Gene Expression Profiling Genome, Human Protein Interaction Maps Molecular Sequence Annotation Databases, Genetic Gene Ontology Area Under Curve Pneumonia, Ventilator-Associated Gene Expression Regulation
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Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism.

European journal of radiology Feb 6, 2020
PURPOSE: To design and evaluate a self-trainable natural language processing (NLP)-based procedure to classify unstructured radiology reports. The method enabling the generation of curated datasets is exemplified on CT pulmonary angiogram (CTPA) repo...
Pulmonary Artery Area Under Curve Pulmonary Embolism Image Interpretation, Computer-Assisted Datasets as Topic Aged Male Neural Networks, Computer Support Vector Machine Retrospective Studies Natural Language Processing Tomography, X-Ray Computed Female Humans
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Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.

Osteoarthritis and cartilage Feb 6, 2020
OBJECTIVE: To develop and evaluate deep learning (DL) risk assessment models for predicting the progression of radiographic medial joint space loss using baseline knee X-rays.
Deep Learning Area Under Curve Humans Radiography Female Osteoarthritis, Knee Risk Factors Aged Male Middle Aged Risk Assessment Disease Progression
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