AIMC Topic: Computer Systems

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Real-time prediction of tumor motion using a dynamic neural network.

Medical & biological engineering & computing Jan 8, 2020
Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a challenging task as respiratory motion leads to the motion of the target tumor. Real-time repositioning of the treatment beam during radiotherapy requir...
Humans Neural Networks, Computer Computer Systems Models, Theoretical Signal Processing, Computer-Assisted Motion
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Real-time machine learning classification of pallidal borders during deep brain stimulation surgery.

Journal of neural engineering Jan 6, 2020
OBJECTIVE: Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) in patients with Parkinson's disease and dystonia improves motor symptoms and quality of life. Traditionally, pallidal borders have been demarcated by electr...
Humans Middle Aged Machine Learning Young Adult Microelectrodes Adolescent Child Female Globus Pallidus Computer Systems Adult Parkinson Disease Dystonia Aged Male Deep Brain Stimulation
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Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.

Nature medicine Jan 6, 2020
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive. M...
Humans Neural Networks, Computer Algorithms Probability Monitoring, Intraoperative Clinical Trials as Topic Image Processing, Computer-Assisted Spectrum Analysis, Raman Brain Neoplasms Deep Learning Computer Systems
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Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach.

Surgical endoscopy Dec 3, 2019
BACKGROUND: Automatic surgical workflow recognition is a key component for developing the context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical phase recognition focused on colorectal surgery has not been reported. We ...
Surgery, Computer-Assisted Colon, Sigmoid Colectomy Retrospective Studies Deep Learning Computer Systems Operative Time Laparoscopy Workflow Humans
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 11, 2019
In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user's movement int...
Databases, Factual Female Reproducibility of Results Adult Male Healthy Volunteers User-Computer Interface Benchmarking Movement Neural Networks, Computer Amputees Machine Learning Intention Computer Systems Humans Algorithms Hand Electromyography
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Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.

Scientific reports Oct 8, 2019
Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, and solutions are critically needed. Hence, the development of a real-time robust detection system for colorectal neoplasms is considered to significant...
Computer Systems Image Processing, Computer-Assisted Colonoscopy Deep Learning Humans Retrospective Studies Sensitivity and Specificity Colorectal Neoplasms
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Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence.

Neural networks : the official journal of the International Neural Network Society Sep 26, 2019
Machine learning is yielding unprecedented interest in research and industry, due to recent success in many applied contexts such as image classification and object recognition. However, the deployment of these systems requires huge computing capabil...
Humans Neurons Neural Networks, Computer Brain Artificial Intelligence Computer Systems Machine Learning Action Potentials Computers
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Machine learning in clinical practice: prospects and pitfalls.

The Medical journal of Australia Aug 6, 2019
Data Interpretation, Statistical Machine Learning Clinical Decision-Making Computer Systems Humans
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Modelling and Control of Mechatronics Lines Served by Complex Autonomous Systems.

Sensors (Basel, Switzerland) Jul 24, 2019
The aim of this paper is to reverse an assembly line, to be able to perform disassembly, using two complex autonomous systems (CASs). The disassembly is functioning only in case of quality default identified in the final product. The CASs are wheeled...
Humans Computer Systems Robotics
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A Real-Time Fire Detection Method from Video with Multifeature Fusion.

Computational intelligence and neuroscience Jul 14, 2019
The threat to people's lives and property posed by fires has become increasingly serious. To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature fusion of flame is propose...
Fires Computer Systems Humans Computing Methodologies Support Vector Machine Algorithms Color
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