AIMC Topic: X-Rays

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Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.

Journal of digital imaging Apr 1, 2019
Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer begins with the analysis of bone X-ray or MRI image. Compared to MRI, an X-ray image provides a low-c...
Magnetic Resonance Imaging Bone Neoplasms Humans Support Vector Machine Radiographic Image Interpretation, Computer-Assisted X-Rays Neoplasm Staging Neoplasm Grading
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Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Osteosarcoma is the most common type of bone cancer. The primary means of osteosarcoma diagnosis is through evaluating plain x-rays. Using image analysis techniques, features that clinicians use to diagnose osteosarcoma can be quantified and studied ...
Humans Algorithms Image Processing, Computer-Assisted Support Vector Machine Metabolomics Sensitivity and Specificity Radiography Osteosarcoma ROC Curve X-Rays
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[Using Parallel Convolutional Neural Networks for Treatment Position Recognition in X-ray Images].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Feb 8, 2018
Treatment position recognition in medical images is a key technique in medical image processing. Due to the excellent performance of convolutional neural networks on features extraction and classification, an architecture of parallel convolutional ne...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted X-Rays
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Toward robot-assisted hard osteolytic lesion treatment using a continuum manipulator.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In this paper, we describe the design and fabrication of an actuation unit for controlling a continuum dexterous manipulator (CDM). The actuation unit is attached to a positioning robot and the integrated system provides sufficient dexterity for plac...
X-Rays Osteolysis Robotics Equipment Design Humans Minimally Invasive Surgical Procedures Hardness
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Hospital Information Systems Radiology, Interventional Appointments and Schedules Pattern Recognition, Automated X-Rays Neural Networks, Computer Algorithms Support Vector Machine Humans Machine Learning Decision Trees Hospitals
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Vessel extraction in X-ray angiograms using deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Coronary artery disease (CAD) is the most common type of heart disease which is the leading cause of death all over the world. X-ray angiography is currently the gold standard imaging technique for CAD diagnosis. These images usually suffer from low ...
Coronary Vessels X-Rays Tomography, X-Ray Computed Learning Coronary Angiography Coronary Artery Disease Humans Neural Networks, Computer
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A method for volumetric imaging in radiotherapy using single x-ray projection.

Medical physics May 1, 2015
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.
Motion Respiration Machine Learning Radiotherapy Lung Four-Dimensional Computed Tomography Phantoms, Imaging Humans X-Rays Principal Component Analysis Diaphragm Time Factors Models, Biological Lung Neoplasms
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