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ROC Curve

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dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

BMC medical imaging Aug 11, 2021
BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effective clinical tool for diagnosis, treatment, evaluation, and prevention of various diseases including metastasis. However, SPECT imaging is brightly c...
Bone and Bones Tomography, Emission-Computed, Single-Photon Whole Body Imaging Neural Networks, Computer ROC Curve Image Interpretation, Computer-Assisted Datasets as Topic Humans
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A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost.

Sensors (Basel, Switzerland) Aug 10, 2021
Currently, face-swapping deepfake techniques are widely spread, generating a significant number of highly realistic fake videos that threaten the privacy of people and countries. Due to their devastating impacts on the world, distinguishing between r...
Humans Neural Networks, Computer Deep Learning ROC Curve
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Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks.

Nature communications Aug 10, 2021
Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular de...
Humans Diabetic Retinopathy Neural Networks, Computer Glaucoma Fundus Oculi Algorithms Macular Degeneration Deep Learning Retinal Diseases ROC Curve Photography
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Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care.

Critical care (London, England) Aug 10, 2021
BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney impairment. There are no treatments other than supportive care for AKI once it has developed, so it...
ROC Curve Area Under Curve Critical Care Pediatrics Humans Infant Machine Learning Severity of Illness Index Computer Simulation Cohort Studies Adolescent Acute Kidney Injury Child, Preschool Female Child Infant, Newborn Intensive Care Units, Pediatric Young Adult Male
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Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.

Computational and mathematical methods in medicine Aug 10, 2021
PURPOSE: To investigate whether quantitative radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could be used to differentiate triple-negative breast cancer (TNBC) and nontriple-negative breast cancer (no...
Image Interpretation, Computer-Assisted Middle Aged Contrast Media Female Cohort Studies Magnetic Resonance Imaging Deep Learning Humans Aged ROC Curve Principal Component Analysis China Software Adult Computational Biology Retrospective Studies Breast Neoplasms Triple Negative Breast Neoplasms
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Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care-A meta-analysis.

PloS one Aug 10, 2021
BACKGROUND: Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 in the primary care (PC) sector. As early detection is crucial for treatment, deep learning screening methods in PC setting could potentially aid in a...
Humans Diabetic Retinopathy Deep Learning Odds Ratio ROC Curve Publication Bias Primary Health Care Mass Screening Predictive Value of Tests
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Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.

Scientific reports Aug 9, 2021
Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making early detection through regular checkups vitally immportant. In this stu...
Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Deep Learning ROC Curve Algorithms Female Diagnostic Errors Photography Humans Neural Networks, Computer Machine Learning
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Female Aged Aged, 80 and over Adult Humans Prognosis Clinical Decision-Making Fluorodeoxyglucose F18 Squamous Cell Carcinoma of Head and Neck Kaplan-Meier Estimate Deep Learning Positron Emission Tomography Computed Tomography Oropharyngeal Neoplasms ROC Curve Neoplasm Staging Image Processing, Computer-Assisted Treatment Outcome Workflow Biomarkers, Tumor Combined Modality Therapy Male Positron-Emission Tomography Middle Aged Disease Management
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Artificial intelligence in orthopedic implant model classification: a systematic review.

Skeletal radiology Aug 5, 2021
Although artificial intelligence models have demonstrated high accuracy in identifying specific orthopedic implant models from imaging, which is an important and time-consuming task, the scope of prior works and performance of prior models have not b...
Humans Artificial Intelligence Radiography Algorithms Orthopedics ROC Curve
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Deep learning-based detection of eosinophilic esophagitis.

Endoscopy Aug 4, 2021
BACKGROUND: For eosinophilic esophagitis (EoE), a substantial diagnostic delay is still a clinically relevant phenomenon. Deep learning-based algorithms have demonstrated potential in medical image analysis. Here we establish a convolutional neuronal...
Deep Learning ROC Curve Eosinophilic Esophagitis Delayed Diagnosis Humans Algorithms
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