AIMC Topic: Datasets as Topic

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Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

BMJ open Jul 23, 2019
OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention.
Middle Aged Hypertension Health Behavior Datasets as Topic Algorithms Female Sensitivity and Specificity Male Humans Machine Learning
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Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.

Artificial intelligence in medicine Jul 23, 2019
Manual annotation is considered to be the "gold standard" in medical imaging analysis. However, medical imaging datasets that include expert manual segmentation are scarce as this step is time-consuming, and therefore expensive. Moreover, single-rate...
Image Processing, Computer-Assisted Humans Male Algorithms Magnetic Resonance Imaging Neural Networks, Computer Middle Aged Brain Datasets as Topic Deep Learning Female Skull Adult
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Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.

International journal of radiation oncology, biology, physics Jul 22, 2019
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of great help in glioma management. This study aimed to create a highly accurate machine learning model to perform glioma grading.
Oligodendroglioma Diagnosis, Differential Humans Glioblastoma Machine Learning Neoplasm Grading Retrospective Studies Datasets as Topic Female Diffusion Tensor Imaging Aged Anisotropy Male Young Adult Aged, 80 and over Diffusion Magnetic Resonance Imaging Middle Aged Adult Astrocytoma Adolescent Brain Neoplasms Glioma
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Wx: a neural network-based feature selection algorithm for transcriptomic data.

Scientific reports Jul 19, 2019
Next-generation sequencing (NGS), which allows the simultaneous sequencing of billions of DNA fragments simultaneously, has revolutionized how we study genomics and molecular biology by generating genome-wide molecular maps of molecules of interest. ...
Humans Neural Networks, Computer Algorithms Genes, Neoplasm Transcriptome High-Throughput Nucleotide Sequencing Datasets as Topic RNA, Neoplasm Biomarkers, Tumor Neoplasms Gene Expression Profiling
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Disentangled representation learning in cardiac image analysis.

Medical image analysis Jul 18, 2019
Typically, a medical image offers spatial information on the anatomy (and pathology) modulated by imaging specific characteristics. Many imaging modalities including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) can be interpreted in ...
Image Interpretation, Computer-Assisted Datasets as Topic Tomography, X-Ray Computed Cardiovascular Diseases Humans Magnetic Resonance Imaging Supervised Machine Learning
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Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jul 12, 2019
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, e.g., for healthcare or fitness applications. Recently, methods based on time-frequency spectra emerged to address the challenges of motion artefac...
Male Middle Aged Exercise Deep Learning Female Young Adult Adult Datasets as Topic Adolescent Photoplethysmography Heart Rate Artifacts Humans Neural Networks, Computer Algorithms Databases, Factual
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Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

Medical image analysis Jul 10, 2019
Classification of benign-malignant lung nodules on chest CT is the most critical step in the early detection of lung cancer and prolongation of patient survival. Despite their success in image classification, deep convolutional neural networks (DCNNs...
Precancerous Conditions Radiography, Thoracic Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Supervised Machine Learning Algorithms Datasets as Topic Tomography, X-Ray Computed Lung Neoplasms
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Enhanced convolutional neural network for plankton identification and enumeration.

PloS one Jul 10, 2019
Despite the rapid increase in the number and applications of plankton imaging systems in marine science, processing large numbers of images remains a major challenge due to large variations in image content and quality in different marine environment...
Ecological Parameter Monitoring Video Recording Datasets as Topic Animals Zooplankton Pacific Ocean Deep Learning Support Vector Machine
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Undersampled MR image reconstruction using an enhanced recursive residual network.

Journal of magnetic resonance (San Diego, Calif. : 1997) Jul 9, 2019
When using aggressive undersampling, it is difficult to recover the high quality image with reliably fine features. In this paper, we propose an enhanced recursive residual network (ERRN) that improves the basic recursive residual network with a high...
Magnetic Resonance Imaging Datasets as Topic Knee Humans Neural Networks, Computer Algorithms Brain Animals Image Processing, Computer-Assisted Rats
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Holistic decomposition convolution for effective semantic segmentation of medical volume images.

Medical image analysis Jul 8, 2019
Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in many different 2D medical image analysis tasks. In clinical practice, however, a large part of the medical imaging data available is in 3D, e.g, magnetic resonance ima...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Datasets as Topic Imaging, Three-Dimensional Pancreas Image Processing, Computer-Assisted Radiography, Abdominal Magnetic Resonance Imaging Hip Dislocation Artifacts
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