AIMC Topic: ROC Curve

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Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.

Investigative radiology Feb 1, 2019
PURPOSE: The aim of this study was to assess the potential of machine learning with multiparametric magnetic resonance imaging (mpMRI) for the early prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) and of survival ...
Adult Breast Neoplasms Middle Aged ROC Curve Prospective Studies Female Reproducibility of Results Aged Breast Survival Analysis Chemotherapy, Adjuvant Diffusion Magnetic Resonance Imaging Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging Predictive Value of Tests Humans Machine Learning
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Machine learning approach to literature mining for the genetics of complex diseases.

Database : the journal of biological databases and curation Jan 1, 2019
To generate a parsimonious gene set for understanding the mechanisms underlying complex diseases, we reasoned it was necessary to combine the curation of public literature, review of experimental databases and interpolation of pathway-associated gene...
Disease Humans Models, Theoretical Machine Learning Databases, Genetic ROC Curve Area Under Curve Data Mining
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Automatic prostate segmentation based on fusion between deep network and variational methods.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Segmentation of prostate from magnetic resonance images (MRI) is a critical process for guiding prostate puncture and biopsy. Currently, the best results are obtained by Convolutional Neural Network (CNN). However, challenges still exist ...
Humans Prostate Neural Networks, Computer Image-Guided Biopsy Male ROC Curve Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Tomography, X-Ray Computed Reproducibility of Results Lung Deep Learning Humans ROC Curve Databases, Factual Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
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A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer l...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Humans Male Neural Networks, Computer Deep Learning Algorithms ROC Curve Reproducibility of Results
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Breast mass detection and diagnosis using fused features with density.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: The morbidity of breast cancer has been increased in these years and ranked the first of all female diseases. Computer-aided diagnosis techniques for mammograms can help radiologists find early breast lesions. In mammograms, the degree of...
Humans Databases, Factual Female Aged Adult Breast Neoplasms Middle Aged Breast ROC Curve Unsupervised Machine Learning Mammography Radiographic Image Interpretation, Computer-Assisted
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A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.

Medicine Jan 1, 2019
To evaluate the value of the computer-aided diagnosis (CAD) program applied to diagnostic breast ultrasonography (US) based on operator experience.US images of 100 breast masses from 91 women over 2 months (from May to June 2015) were collected and r...
Observer Variation Follow-Up Studies Radiologists Female Ultrasonography, Mammary Aged Breast Humans Young Adult Sensitivity and Specificity Clinical Competence Adult Artificial Intelligence Adolescent Breast Neoplasms Retrospective Studies ROC Curve Middle Aged Diagnosis, Computer-Assisted
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A Multi-View Deep Learning Framework for EEG Seizure Detection.

IEEE journal of biomedical and health informatics Jan 1, 2019
The recent advances in pervasive sensing technologies have enabled us to monitor and analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to prevent serious outcomes caused by epileptic seizures. To avoid manual visual in...
Electroencephalography Epilepsy Seizures Signal Processing, Computer-Assisted Adolescent Child, Preschool Child ROC Curve Humans Algorithms Female Young Adult Adult Male Deep Learning
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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.

JAMA dermatology Jan 1, 2019
IMPORTANCE: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose.
Female Skin Neoplasms Dermoscopy Reproducibility of Results Humans Neural Networks, Computer Algorithms Retrospective Studies ROC Curve Follow-Up Studies Diagnosis, Differential Skin Adult Male Middle Aged
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Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2019
UNLABELLED: Accurate and efficient identification of complex chronic conditions in the electronic health record (EHR) is an important but challenging task that has historically relied on tedious clinician review and oversimplification of the disease....
Humans Machine Learning Algorithms Electronic Health Records ROC Curve Lupus Erythematosus, Systemic
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