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Automated detection of preserved photoreceptor on optical coherence tomography in choroideremia based on machine learning.

Journal of biophotonics Feb 9, 2018
Optical coherence tomography (OCT) can demonstrate early deterioration of the photoreceptor integrity caused by inherited retinal degeneration diseases (IRDs). A machine learning method based on random forests was developed to automatically detect co...
Humans Automation Photoreceptor Cells, Vertebrate Choroideremia Machine Learning Image Processing, Computer-Assisted Tomography, Optical Coherence
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Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network.

Computers in biology and medicine Feb 9, 2018
Stereotactic treatments are today the reference techniques for the irradiation of brain metastases in radiotherapy. The dose per fraction is very high, and delivered in small volumes (diameter <1 cm). As part of these treatments, effective detection ...
Neoplasm Metastasis Radiosurgery Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Brain Neoplasms Male Humans Neural Networks, Computer
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Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.

Computers in biology and medicine Feb 9, 2018
Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated to be effective for visualization of the human cartilage matrix at micrometer resolution, thereby capturing osteoarthritis induced changes to chondrocyte organization. This study...
Cartilage Patella Humans Neural Networks, Computer Chondrocytes Machine Learning Osteoarthritis Tomography, X-Ray Computed
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Robotic surgery: new robots and finally some real competition!

World journal of urology Feb 9, 2018
PURPOSE: For the last 20 years, the predominant robot used in laparoscopic surgery has been Da Vinci by Intuitive Surgical. This monopoly situation has led to rising costs and relatively slow innovation. This article aims to discuss the two new robot...
(1)
Device Approval Urologic Surgical Procedures Economic Competition Robotics Laparoscopy Robotic Surgical Procedures Humans
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An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Artificial intelligence in medicine Feb 9, 2018
BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics...
Drug Prescriptions Machine Learning Drug Therapy, Computer-Assisted Bacterial Infections Clinical Decision-Making User-Computer Interface Humans Decision Support Techniques Predictive Value of Tests Reproducibility of Results ROC Curve Anti-Bacterial Agents Biological Ontologies Diagnosis, Computer-Assisted Decision Support Systems, Clinical
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Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

Scientific reports Feb 9, 2018
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digita...
Retrospective Studies Female Adult Humans Algorithms Databases, Factual Early Detection of Cancer Mammography Supervised Machine Learning Breast Density Diagnosis, Computer-Assisted Breast Neoplasms Deep Learning Middle Aged Pilot Projects
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Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints.

Biomedical engineering online Feb 9, 2018
BACKGROUND: Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contac...
Signal-To-Noise Ratio Statistics as Topic Photoplethysmography Robotics Signal Processing, Computer-Assisted Humans Algorithms
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Self-learning computers for surgical planning and prediction of postoperative alignment.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 9, 2018
PURPOSE: In past decades, the role of sagittal alignment has been widely demonstrated in the setting of spinal conditions. As several parameters can be affected, identifying the driver of the deformity is the cornerstone of a successful treatment app...
Machine Learning Algorithms Image Processing, Computer-Assisted Spine Surgery, Computer-Assisted Humans
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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.

IEEE transactions on cybernetics Feb 8, 2018
Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain development. In the isointense phase (approximately 6-8 months of age), white matter and gray matte...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Brain Neural Networks, Computer Infant Imaging, Three-Dimensional
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EmotionMeter: A Multimodal Framework for Recognizing Human Emotions.

IEEE transactions on cybernetics Feb 8, 2018
In this paper, we present a multimodal emotion recognition framework called EmotionMeter that combines brain waves and eye movements. To increase the feasibility and wearability of EmotionMeter in real-world applications, we design a six-electrode pl...
Image Processing, Computer-Assisted Emotions Electroencephalography Male Deep Learning Eye Movements Humans Signal Processing, Computer-Assisted Female Young Adult Adult
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