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A Survey on Artificial Neural Networks in Medical Imaging Applications

Dr. K. Nandhini, J. Jamuna, J. Reshmi Tabitha

Abstract


Computer technology have been advanced tremendously and the interest has been highly originated for the potential use of ‘Artificial Intelligence (AI)’ in medical or clinical related researches. The most interesting branch of AI is the Artificial Neural Network (ANNs). These ANNs are generated by computers, in the form of mathematical algorithms. ANNs approach the functionality of the small biological neural cluster in a very fundamental manner. These systems are widely used for medical applications in various disciplines of medicine, especially in Cardiology and also in Neurology. They are extensively applied in diagnosis, electronic signal analysis, medical image analysis and radiology. Many authors have been using this for modelling in medicine and clinical research. Its applications are widely being increased in pharmacoepidemiology and medical data mining. Over the past twenty- or thirty-years clinical applications are habitually utilizing medical imaging in different forms and helping in better disease diagnostic and treatment.


Keywords


Artificial Intelligence, Artificial Neural Networks, Medical Imaging, Modality

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References


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https://www.emeraldinsight.com/doi/xml/10.1108/13552510510616487

https://studylib.net/doc/6752419/f201312241387861776


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