AIMC Topic: Models, Anatomic

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Interfacing Soft and Hard: A Spring Reinforced Actuator.

Soft robotics Oct 15, 2019
Muscular hydrostats have long been a source of inspiration for soft robotic designs. With their inherent compliance, they excel in unpredictable environments and can gently manipulate objects with ease. However, their performance lacks where high for...
Humans Mechanical Phenomena Finite Element Analysis Muscles Models, Anatomic Animals Robotics Equipment Design
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Simplifying models and estimating grasp performance for comparing dynamic hand orthosis concepts.

PloS one Jul 25, 2019
While designing a dynamic hand orthosis to assist during activities of daily living, the designer has to know whether a concept will have sufficient grasp performance to support these activities. This is often estimated by measuring the interaction f...
Activities of Daily Living Orthotic Devices Models, Anatomic Hand Strength Robotics Humans Hand Computer Simulation Biomechanical Phenomena
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Novel evaluation of surgical activity recognition models using task-based efficiency metrics.

International journal of computer assisted radiology and surgery Jul 2, 2019
PURPOSE: Surgical task-based metrics (rather than entire procedure metrics) can be used to improve surgeon training and, ultimately, patient care through focused training interventions. Machine learning models to automatically recognize individual ta...
Benchmarking Prostatectomy Models, Anatomic Surgeons Machine Learning Clinical Competence Robotic Surgical Procedures Male Humans
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Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.

International journal of computer assisted radiology and surgery Jun 11, 2019
PURPOSE: Machine learning-based approaches now outperform competing methods in most disciplines relevant to diagnostic radiology. Image-guided procedures, however, have not yet benefited substantially from the advent of deep learning, in particular b...
Humans Neural Networks, Computer Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Fluoroscopy Cadaver Algorithms Computer Simulation Tomography, X-Ray Computed Scattering, Radiation X-Rays Models, Anatomic
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Automatic annotation of surgical activities using virtual reality environments.

International journal of computer assisted radiology and surgery Jun 8, 2019
PURPOSE: Annotation of surgical activities becomes increasingly important for many recent applications such as surgical workflow analysis, surgical situation awareness, and the design of the operating room of the future, especially to train machine l...
Virtual Reality Humans Surgery, Computer-Assisted Models, Anatomic Machine Learning Operating Rooms Reproducibility of Results
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Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy Feb 21, 2019
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...
Silicon Suture Techniques Models, Anatomic Machine Learning Algorithms Clinical Competence Laparoscopy Workflow Ontario Decision Trees Humans Neural Networks, Computer
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Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model.

Computational intelligence and neuroscience Feb 3, 2019
Zebrafish embryo fluorescent vessel analysis, which aims to automatically investigate the pathogenesis of diseases, has attracted much attention in medical imaging. Zebrafish vessel segmentation is a fairly challenging task, which requires distinguis...
Animals Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Blood Vessels Zebrafish Embryo, Nonmammalian Models, Anatomic
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Application of convolutional neural networks for classification of adult mosquitoes in the field.

PloS one Jan 14, 2019
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus Aedes and have caused several outbreaks in world over the past ten years. Morphological identification of mosquitos is currently restricted due to the small number of ...
Culex Databases, Factual Mosquito Vectors Female Models, Anatomic Animals Arbovirus Infections Humans Male Aedes Neural Networks, Computer Image Processing, Computer-Assisted Species Specificity Machine Learning
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Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface Sep 26, 2018
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...
Phylogeny Locomotion Skull Algorithms Biological Evolution Finite Element Analysis Platyrrhini Machine Learning Biomechanical Phenomena Fossils Mathematics Animals Talus Models, Anatomic
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Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Support Vector Machine Algorithms Humans Models, Cardiovascular Reference Values Models, Anatomic Neural Networks, Computer Histological Techniques Deep Learning Cardiovascular System Machine Learning Image Processing, Computer-Assisted
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