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Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.
Computational and mathematical methods in medicine
May 18, 2020
Deep neural networks have recently been applied to the study of brain disorders such as autism spectrum disorder (ASD) with great success. However, the internal logics of these networks are difficult to interpret, especially with regard to how specif...
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.
Scientific reports
May 15, 2020
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthrit...
An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset.
ISA transactions
May 11, 2020
Predictive maintenance is increasingly advancing into the aerospace industry, and it comes with diverse prognostic health management solutions. This type of maintenance can unlock several benefits for aerospace organizations. Such as preventing unexp...
Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.
Accident; analysis and prevention
May 11, 2020
Lane change has been recognized as a challenging driving maneuver and a significant component of traffic safety research. Developing a real-time continuous lane change detection system can assist drivers to perform and deal with complex driving tasks...
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.
Radiology
May 8, 2020
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 ...
Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning.
Computational and mathematical methods in medicine
May 8, 2020
Electroencephalography (EEG) plays an import role in monitoring the brain activities of patients with epilepsy and has been extensively used to diagnose epilepsy. Clinically reading tens or even hundreds of hours of EEG recordings is very time consum...
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.
International journal of computer assisted radiology and surgery
May 6, 2020
PURPOSE: Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-cost solution to address quality control for endoscopic reporting. The problem is, however, challenging for computer-assisted techniques, because diffe...
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches.
Computers in biology and medicine
May 6, 2020
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes pneumonia in humans. Artificial intelligence models have been helpful for successful analyses in t...
Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI.
Computational and mathematical methods in medicine
May 5, 2020
Breast segmentation and mass detection in medical images are important for diagnosis and treatment follow-up. Automation of these challenging tasks can assist radiologists by reducing the high manual workload of breast cancer analysis. In this paper,...
Radiomics and deep learning in lung cancer.
Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
May 4, 2020
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomograp...
Lung Neoplasms
Genotype
Computational Biology
Treatment Outcome
Prognosis
Tomography, X-Ray Computed
Deep Learning
Image Processing, Computer-Assisted
Radiosurgery
Radiotherapy
Radiation Injuries
Imaging Genomics
Neoplasm Staging
Humans
Neoplasm Recurrence, Local
Forecasting
Radiotherapy Planning, Computer-Assisted
Phenotype
False Positive Reactions
Databases, Factual
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