AIMC Journal:
Medical & biological engineering & computing

Showing 261 to 270 of 330 articles

DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Medical & biological engineering & computing Mar 2, 2020
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopa...
Brain Neoplasms Deep Learning Image Interpretation, Computer-Assisted Histocytochemistry Survival Analysis Humans Neural Networks, Computer
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A-phase classification using convolutional neural networks.

Medical & biological engineering & computing Mar 2, 2020
A series of short events, called A-phases, can be observed in the human electroencephalogram (EEG) during Non-Rapid Eye Movement (NREM) sleep. These events can be classified in three groups (A1, A2, and A3) according to their spectral contents, and a...
Female Young Adult Adult Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Sleep Stages Male Deep Learning
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A deep convolutional neural network architecture for interstitial lung disease pattern classification.

Medical & biological engineering & computing Jan 22, 2020
Interstitial lung disease (ILD) refers to a group of various abnormal inflammations of lung tissues and early diagnosis of these disease patterns is crucial for the treatment. Yet it is difficult to make an accurate diagnosis due to the similarity am...
Lung Diseases, Interstitial Diagnosis, Computer-Assisted Deep Learning Databases, Factual Tomography, X-Ray Computed Humans Neural Networks, Computer
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Automatic lesion segmentation and classification of hepatic echinococcosis using a multiscale-feature convolutional neural network.

Medical & biological engineering & computing Jan 16, 2020
Hepatic echinococcosis (HE) is a life-threatening liver disease caused by parasites that requires a precise diagnosis and proper treatments. To assess HE lesions accurately, we propose a novel automatic HE lesion segmentation and classification netwo...
Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Echinococcosis, Hepatic Automation
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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...
Computer Systems Models, Theoretical Motion Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine.

Medical & biological engineering & computing Jan 4, 2020
Early diagnosis and treatment are the most important strategies to prevent deaths from several diseases. In this regard, data mining and machine learning techniques have been useful tools to help minimize errors and to provide useful information for ...
Support Vector Machine Humans Neural Networks, Computer Databases as Topic Female
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Design of a multi-arm concentric-tube robot system for transnasal surgery.

Medical & biological engineering & computing Jan 3, 2020
Concentric tube robot (CTR) has gradually attracted the attention of researchers on the basis of its small size and curved shape control ability. However, most of current experimental prototypes of CTR are single-arm structure, which can only carry o...
Nose Robotic Surgical Procedures Telemedicine Humans Endoscopy Robotics Equipment Design Biomechanical Phenomena
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Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach.

Medical & biological engineering & computing Jan 2, 2020
Cardiologists can acquire important information related to patients' cardiac health using carotid artery stiffness, its lumen diameter (LD), and its carotid intima-media thickness (cIMT). The sonographers primarily concern about the location of the a...
Humans Neural Networks, Computer Deep Learning Ultrasonography Image Processing, Computer-Assisted Algorithms Reproducibility of Results Benchmarking Carotid Arteries
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Microwave tomography with phaseless data on the calcaneus by means of artificial neural networks.

Medical & biological engineering & computing Dec 20, 2019
The aim of this study is to use a multilayer perceptron (MLP) artificial neural network (ANN) for phaseless imaging the human heel (modeled as a bilayer dielectric media: bone and surrounding tissue) and the calcaneus cross-section size and location ...
Calcaneus Electric Conductivity Humans Heel Microwave Imaging Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Prediction of lower limb joint angles and moments during gait using artificial neural networks.

Medical & biological engineering & computing Dec 11, 2019
In recent years, gait analysis outside the laboratory attracts more and more attention in clinical applications as well as in life sciences. Wearable sensors such as inertial sensors show high potential in these applications. Unfortunately, they can ...
Lower Extremity Humans Kinetics Neural Networks, Computer Joints Biomechanical Phenomena Gait Models, Biological Databases as Topic
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