Efficient and accurate identification of ear diseases using an ensemble deep learning model
X Zeng, Z Jiang, W Luo, H Li, H Li, G Li, J Shi, K Wu… - Scientific Reports, 2021 - nature.com
Early detection and appropriate medical treatment are of great use for ear disease.
However, a new diagnostic strategy is necessary for the absence of experts and relatively
low diagnostic accuracy, in which deep learning plays an important role. This paper puts
forward a mechanic learning model which uses abundant otoscope image data gained in
clinical cases to achieve an automatic diagnosis of ear diseases in real time. A total of
20,542 endoscopic images were employed to train nine common deep convolution neural …
However, a new diagnostic strategy is necessary for the absence of experts and relatively
low diagnostic accuracy, in which deep learning plays an important role. This paper puts
forward a mechanic learning model which uses abundant otoscope image data gained in
clinical cases to achieve an automatic diagnosis of ear diseases in real time. A total of
20,542 endoscopic images were employed to train nine common deep convolution neural …
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