AIMC Topic: ROC Curve

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Improvement of classification performance of Parkinson's disease using shape features for machine learning on dopamine transporter single photon emission computed tomography.

PloS one Jan 24, 2020
OBJECTIVE: To assess the classification performance between Parkinson's disease (PD) and normal control (NC) when semi-quantitative indicators and shape features obtained on dopamine transporter (DAT) single photon emission computed tomography (SPECT...
ROC Curve Parkinson Disease Tomography, Emission-Computed, Single-Photon Area Under Curve Corpus Striatum Humans Machine Learning Databases, Factual Case-Control Studies
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A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.

Molecular medicine reports Jan 23, 2020
Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the survival rate of patients with pediatric septic shock (PSS) is particularly low, with a mortality rate of 25‑50%. The present study explored the mechanisms o...
ROC Curve Gene Expression Profiling Databases, Genetic Humans Shock, Septic Adolescent Gene Regulatory Networks Biomarkers Age Factors Child, Preschool Computational Biology Support Vector Machine Reproducibility of Results Gene Ontology Child Gene Expression Regulation, Neoplastic Infant
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Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.

European radiology Jan 21, 2020
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading.
Algorithms Biomarkers Retrospective Studies Female Male Middle Aged ROC Curve Aged Adult Humans Neural Networks, Computer Machine Learning Data Accuracy Elasticity Imaging Techniques Liver Cirrhosis Liver Area Under Curve Hepatitis B, Chronic
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Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction.

Journal of computer-aided molecular design Jan 20, 2020
Machine learning methods may have the potential to significantly accelerate drug discovery. However, the increasing rate of new methodological approaches being published in the literature raises the fundamental question of how models should be benchm...
Drug Evaluation, Preclinical Algorithms Computer Simulation Humans Drug Discovery Support Vector Machine Machine Learning Deep Learning User-Computer Interface Area Under Curve Benchmarking ROC Curve
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Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations.

European journal of cancer (Oxford, England : 1990) Jan 20, 2020
BACKGROUND: Deep learning convolutional neural networks (CNNs) show great potential for melanoma diagnosis. Melanoma thickness at diagnosis among others depends on melanoma localisation and subtype (e.g. advanced thickness in acrolentiginous or nodul...
Follow-Up Studies Retrospective Studies Female Middle Aged Melanoma Case-Control Studies Aged Humans Deep Learning Male ROC Curve Neural Networks, Computer Prognosis
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Liver tissue classification of en face images by fractal dimension-based support vector machine.

Journal of biophotonics Jan 16, 2020
Full-field optical coherence tomography (FF-OCT) has been reported with its label-free subcellular imaging performance. To realize quantitive cancer detection, the support vector machine model of classifying normal and cancerous human liver tissue is...
ROC Curve Liver Support Vector Machine Humans Tomography, Optical Coherence Fractals
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Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.

Thoracic cancer Jan 16, 2020
BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the pathological complete response (pCR) to neoadjuvant chemotherapy in breast cancer.
Humans Prognosis Retrospective Studies Female Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Neoplasm Invasiveness Carcinoma, Ductal, Breast Breast Neoplasms Middle Aged Deep Learning ROC Curve Chemotherapy, Adjuvant Carcinoma, Papillary Carcinoma, Lobular
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Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks.

Scientific reports Jan 15, 2020
Subtle interstitial changes in the lung parenchyma of smokers, known as Interstitial Lung Abnormalities (ILA), have been associated with clinical outcomes, including mortality, even in the absence of Interstitial Lung Disease (ILD). Although several ...
Lung ROC Curve Neural Networks, Computer Lung Diseases, Interstitial Area Under Curve Humans Radiographic Image Interpretation, Computer-Assisted Databases, Factual Prognosis Tomography, X-Ray Computed
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Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.

European journal of radiology Jan 14, 2020
PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential ...
Workflow Image Interpretation, Computer-Assisted Time Gadolinium DTPA Male Middle Aged Efficiency ROC Curve Magnetic Resonance Imaging Liver Area Under Curve Liver Neoplasms Contrast Media Retrospective Studies Female Humans Aged Neural Networks, Computer Adult Algorithms
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Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.

Scientific reports Jan 14, 2020
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmonary tuberculosis (PTB) screening when interpreted by human readers. However, they are challenging to scale due to hardware costs and the dearth of pro...
Diagnosis, Computer-Assisted Software Deep Learning Humans Retrospective Studies ROC Curve Female Tuberculosis, Pulmonary India Reproducibility of Results Mycobacterium tuberculosis Tertiary Care Centers Male Radiography, Thoracic Middle Aged Case-Control Studies
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