AIMC Topic: ROC Curve

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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...
Observer Variation Biopsy, Needle Image Processing, Computer-Assisted Adenocarcinoma Prostatic Neoplasms Neoplasm Grading Humans Neural Networks, Computer Male ROC Curve
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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 Humans Child Contrast Media Eye Neoplasms Magnetic Resonance Imaging ROC Curve Retrospective Studies Diagnosis, Differential Uveal Melanoma Young Adult Logistic Models Female Image Enhancement Support Vector Machine Uveal Neoplasms Adult Male Melanoma Middle Aged 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...
Humans Machine Learning Forecasting Middle Aged Risk Assessment Neoplasms ROC Curve Models, Theoretical Prospective Studies Female Hospitalization Aged Male Chemoradiotherapy Area Under Curve Radiotherapy Emergency Service, Hospital Standard of Care Ambulatory Care Quality Improvement
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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.
Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Area Under Curve Prostatic Neoplasms Neoplasm Staging Prostate-Specific Antigen Aged Neoplasm Grading Aged, 80 and over Humans Male Machine Learning Middle Aged ROC Curve Cone-Beam Computed Tomography Image Processing, Computer-Assisted Computational Biology Logistic Models Adenocarcinoma
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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 Deep Learning Area Under Curve Color Cohort Studies Prostatic Neoplasms ROC Curve Prostate Image Processing, Computer-Assisted Biopsy Staining and Labeling Computational Biology
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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.
Retrospective Studies Female Reproducibility of Results Male Middle Aged Image Interpretation, Computer-Assisted Humans ROC Curve Preoperative Care Machine Learning Predictive Value of Tests Meningioma Area Under Curve Meningeal Neoplasms Neoplasm Grading Multiparametric Magnetic Resonance Imaging
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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...
ROC Curve Gene Regulatory Networks Biomarkers Computational Biology Gene Expression Profiling Transcriptome Sepsis Humans Child Machine Learning
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HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Genomics, proteomics & bioinformatics Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
Proteome Proteins Area Under Curve Amino Acid Sequence Machine Learning Species Specificity Humans Lysine Algorithms Succinic Acid Neoplasms Acylation ROC Curve
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Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.

Sensors (Basel, Switzerland) Aug 27, 2020
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we s...
Humans Neural Networks, Computer Female Aged Aged, 80 and over Male Middle Aged Deep Learning Renal Dialysis ROC Curve Auscultation Arteriovenous Fistula
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A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.

PloS one Aug 27, 2020
Kawasaki disease is the leading cause of pediatric acquired heart disease. Coronary artery abnormalities are the main complication of Kawasaki disease. Kawasaki disease patients with intravenous immunoglobulin resistance are at a greater risk of deve...
Child, Preschool Risk Factors ROC Curve Humans Male Feasibility Studies Machine Learning Logistic Models Risk Assessment Models, Biological Retrospective Studies Mucocutaneous Lymph Node Syndrome Infant Immunoglobulins, Intravenous Coronary Artery Disease Female Drug Resistance China
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