Artificial Neural Networks in Medical Imaging Systems
نویسندگان
چکیده
The aim of this paper is to provide a snapshot of the application of neural network systems in medical imaging. A few selected case studies are presented, covering the application of neural networks in microscopy imaging in the analysis of cervicovaginal smears and breast cancer histopathology, in ultrasound imaging of the carotid artery, in the analysis of physiological data for lesion placement in pallidotomy and MRI imaging, and in X-ray screening imaging in mammography and chest radiography. It is anticipated that the application of neural network systems in medicine will provide the framework for the development of emerging medical systems, enabling the better delivery of health care.
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