AIMC Topic:
ROC Curve

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Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images.

Medical physics Sep 15, 2020
PURPOSE: The purpose of this work was to evaluate the performance of X-Net, a multiview deep learning architecture, to automatically label vertebral levels (S2-C1) in palliative radiotherapy simulation CT scans.
ROC Curve Humans Lumbar Vertebrae Neural Networks, Computer Computer Simulation Tomography, X-Ray Computed
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Receiver operating characteristic curves and confidence bands for support vector machines.

Biometrics Sep 12, 2020
Many problems that appear in biomedical decision-making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The support vector machine (SVM) is a popular classification technique that ...
Humans Computer Simulation Female Breast Neoplasms ROC Curve Support Vector Machine Probability
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Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.

Annals of neurology Sep 10, 2020
OBJECTIVE: Medial temporal lobe epilepsy (TLE) is the most common form of medication-resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than one-third of patients continue to have disabling seizures postoperativel...
Male Middle Aged ROC Curve Epilepsy, Temporal Lobe Image Processing, Computer-Assisted Nerve Net Treatment Outcome Diffusion Tensor Imaging Humans Drug Resistant Epilepsy Machine Learning Parahippocampal Gyrus Magnetic Resonance Imaging Female Adult Neurosurgical Procedures Gray Matter Connectome
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Automated detection of cribriform growth patterns in prostate histology images.

Scientific reports Sep 10, 2020
Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, convolutional neural network was trained to detect cribriform growth pa...
Neoplasm Grading Observer Variation Biopsy, Needle Male Humans ROC Curve Neural Networks, Computer Image Processing, Computer-Assisted Adenocarcinoma Prostatic Neoplasms
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Adolescent Child ROC Curve Logistic Models Support Vector Machine Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Image Enhancement Young Adult Adult Humans Male Eye Neoplasms Middle Aged Uveal Neoplasms Female Retrospective Studies Uveal Melanoma Melanoma Reproducibility of Results Aged
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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Sep 4, 2020
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited...
Emergency Service, Hospital Ambulatory Care Quality Improvement Chemoradiotherapy Radiotherapy Humans Standard of Care Machine Learning Neoplasms Forecasting Aged ROC Curve Prospective Studies Male Models, Theoretical Female Middle Aged Area Under Curve Hospitalization Risk Assessment
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Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Computational Biology Logistic Models Adenocarcinoma Aged, 80 and over Male Middle Aged ROC Curve Neoplasm Grading Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Area Under Curve Prostatic Neoplasms Neoplasm Staging Prostate-Specific Antigen Humans Machine Learning Aged
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.

Scientific reports Sep 1, 2020
Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this paper, we investigated the impact of scanning systems (scanners) and cycle-GAN-based normalization on algorithm performance, by comparing different deep ...
Humans Male Prostate Deep Learning Biopsy Staining and Labeling Cohort Studies ROC Curve Computational Biology Image Processing, Computer-Assisted Area Under Curve Color Prostatic Neoplasms
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Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.

European journal of radiology Aug 28, 2020
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI in predicting the meningioma grade.
Predictive Value of Tests Preoperative Care Reproducibility of Results Area Under Curve Humans Meningioma Male Meningeal Neoplasms Neoplasm Grading Machine Learning Middle Aged Multiparametric Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Retrospective Studies ROC Curve Female
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Machine learning based refined differential gene expression analysis of pediatric sepsis.

BMC medical genomics Aug 28, 2020
BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysis of gene expression changes associated with biological conditions of interest. Such analysis often provides a wide list of genes that are differentia...
Sepsis Child ROC Curve Gene Regulatory Networks Humans Machine Learning Computational Biology Biomarkers Gene Expression Profiling Transcriptome
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