AIMC Topic: Models, Anatomic

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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...
Cadaver Scattering, Radiation X-Rays Models, Anatomic Imaging, Three-Dimensional Image Processing, Computer-Assisted Fluoroscopy Humans Computer Simulation Machine Learning Neural Networks, Computer Tomography, X-Ray Computed Algorithms
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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 Surgery, Computer-Assisted Operating Rooms Humans Models, Anatomic Machine Learning 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...
Neural Networks, Computer Machine Learning Algorithms Clinical Competence Humans Models, Anatomic Workflow Silicon Suture Techniques Ontario Decision Trees Laparoscopy
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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...
Models, Anatomic Blood Vessels Signal Processing, Computer-Assisted Zebrafish Embryo, Nonmammalian Neural Networks, Computer Algorithms Animals
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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 ...
Aedes Species Specificity Mosquito Vectors Models, Anatomic Animals Male Image Processing, Computer-Assisted Arbovirus Infections Culex Humans Databases, Factual Female Neural Networks, Computer 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 ...
Finite Element Analysis Mathematics Models, Anatomic Animals Platyrrhini Biological Evolution Phylogeny Talus Machine Learning Locomotion Fossils Skull Algorithms Biomechanical Phenomena
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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...
Image Processing, Computer-Assisted Support Vector Machine Reference Values Histological Techniques Models, Anatomic Machine Learning Cardiovascular System Algorithms Humans Models, Cardiovascular Neural Networks, Computer Deep Learning
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Toward a standard ontology of surgical process models.

International journal of computer assisted radiology and surgery Jul 13, 2018
PURPOSE: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing o...
Minimally Invasive Surgical Procedures Models, Anatomic Biological Ontologies Humans Europe Pattern Recognition, Automated International Cooperation
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Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Medical & biological engineering & computing May 30, 2018
Soft tissue deformation modelling forms the basis of development of surgical simulation, surgical planning and robotic-assisted minimally invasive surgery. This paper presents a new methodology for modelling of soft tissue deformation based on reacti...
Phantoms, Imaging Models, Anatomic Anisotropy Humans Feedback Neural Networks, Computer Biomechanical Phenomena Computer Simulation Diffusion Connective Tissue
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3D/2D model-to-image registration by imitation learning for cardiac procedures.

International journal of computer assisted radiology and surgery May 12, 2018
PURPOSE: In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challeng...
Multimodal Imaging Heart Cardiac Resynchronization Therapy Machine Learning Reproducibility of Results Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Models, Anatomic Humans
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