Arxiv
Təbiət və elm 2024
DOI: 10.36719/2707-1146/05/4-11
Elcin Nizami Huseyn
Netherlands Institute for Neuroscience
elcin.huseyn@asoiu.edu.az
APPLICATION OF DEEP LEARNING TECHNOLOGY IN DISEASE DIAGNOSIS
Summary
The rapid development of deep learning technology provides new methods and ideas for assisting physicians in high-precision disease diagnosis. This article reviews the principles and features of deep learning models commonly used in medical disease diagnosis, namely convolutional neural networks, deep belief networks, restricted Boltzmann machines, and recurrent neural network models. Based on several typical diseases, the application of deep learning technology in the field of disease diagnosis is introduced; finally, the future development direction is proposed based on the limitations of current deep learning technology in disease diagnosis.
Keywords: Artificial Intelligence; Deep Learning; Disease Diagnosis; Neural Network
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