Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural networks suffered from overfitting and vanishing gr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Gastrointestinal Endoscopy
2020-03-01
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| Series: | Clinical Endoscopy |
| Subjects: | |
| Online Access: | http://www.e-ce.org/upload/pdf/ce-2020-054.pdf |