AIMC Topic:
ROC Curve

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Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy.

Translational vision science & technology Jul 16, 2020
PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture with symptom awareness for diabetic retinopathy (DR).
Humans Diabetic Retinopathy Algorithms Deep Learning ROC Curve Diabetes Mellitus Fundus Oculi
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Development and validation of an artificial neural network prognostic model after gastrectomy for gastric carcinoma: An international multicenter cohort study.

Cancer medicine Jul 15, 2020
BACKGROUND: Recently, artificial neural network (ANN) methods have also been adopted to deal with the complex multidimensional nonlinear relationship between clinicopathologic variables and survival for patients with gastric cancer. Using a multinati...
Kaplan-Meier Estimate Male Middle Aged China Cohort Studies ROC Curve Area Under Curve Gastrectomy Japan SEER Program Prognosis Female Aged Stomach Neoplasms Humans Neural Networks, Computer Decision Support Techniques
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Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

Journal of biomedical science Jul 15, 2020
BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h of stroke onset. Quick and precise identification of the salvageable tissue is essential for successful stroke management. In this study, we examined t...
Male ROC Curve Rats Rats, Sprague-Dawley Disease Models, Animal Machine Learning Algorithms Animals Infarction, Middle Cerebral Artery Ischemia Diffusion Tensor Imaging
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.

European radiology Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Algorithms Retrospective Studies Female Reproducibility of Results Aged Humans Area Under Curve Bayes Theorem Pattern Recognition, Automated Calibration Reference Standards Diagnosis, Computer-Assisted Radiography, Thoracic Deep Learning ROC Curve Adult Image Processing, Computer-Assisted Male Predictive Value of Tests Middle Aged Lung
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Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis.

Computers in biology and medicine Jul 14, 2020
BACKGROUND: Recently, deep learning (DL) algorithms have received widespread popularity in various medical diagnostics. This study aimed to evaluate the diagnostic performance of DL models in the detection and classifying of pneumonia using chest X-r...
Humans X-Rays Deep Learning ROC Curve Pneumonia Thorax
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Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI.

The Laryngoscope Jul 13, 2020
OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate oropharyngeal squamous cell carcinoma (SCC) according to the human papillomavirus (HPV) status.
Alphapapillomavirus Squamous Cell Carcinoma of Head and Neck Magnetic Resonance Imaging Predictive Value of Tests Feasibility Studies Oropharyngeal Neoplasms Machine Learning Middle Aged Retrospective Studies ROC Curve Female Humans Papillomavirus Infections Aged Logistic Models Male
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A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Scientific reports Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Young Adult Adult Breast Neoplasms Middle Aged Adolescent Humans Tomography, X-Ray Computed Female Machine Learning Receptor, ErbB-2 Aged Prognosis ROC Curve Aged, 80 and over Carcinoma, Ductal, Breast Receptors, Estrogen Antineoplastic Combined Chemotherapy Protocols Receptors, Progesterone Neoadjuvant Therapy Carcinoma, Lobular Follow-Up Studies
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Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.

JAMA network open Jul 1, 2020
IMPORTANCE: Accurate identification of lymph node metastasis preoperatively and noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention and benefit treatment planning.
Adult Program Development Uterine Cervical Neoplasms Middle Aged China Humans Deep Learning ROC Curve Software Lymphatic Metastasis Retrospective Studies Magnetic Resonance Imaging Female Area Under Curve
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Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis.

European radiology Jun 30, 2020
OBJECTIVES: The aim of this study was to systematically review the literature and perform a meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically significant prostate cancer (csPCa) identification on MRI.
Area Under Curve Prevalence Prostatectomy Prostatic Neoplasms Diagnosis, Computer-Assisted Humans Biopsy ROC Curve Machine Learning Reference Standards Magnetic Resonance Imaging Algorithms Male
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Machine Learning Prediction of Extracapsular Extension in Human Papillomavirus-Associated Oropharyngeal Squamous Cell Carcinoma.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jun 30, 2020
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular extension (ECE) prior to treatment, using common oncologic variables, in patients with human papillomavirus (HPV)-associated oropharyngeal squamous cell c...
Middle Aged ROC Curve Oropharyngeal Neoplasms Papillomavirus Infections Retrospective Studies Humans Logistic Models Alphapapillomavirus Female Machine Learning Squamous Cell Carcinoma of Head and Neck Extranodal Extension Aged Databases, Factual Male Prognosis
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