Deep Reinforcement Learning Method for 3D-CT Nasopharyngeal Cancer Localization with Prior Knowledge

Fast and accurate lesion localization is an important step in medical image analysis. The current supervised deep learning methods have obvious limitations in the application of radiology, as they require a large number of manually annotated images. In response to the above issues, we introduced a d...

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Bibliographic Details
Published in:	Applied sciences Vol. 13; no. 14; p. 7999
Main Authors:	Han, Guanghui, Kong, Yuhao, Wu, Huixin, Li, Haojiang
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-07-2023
Subjects:	Accuracy Algorithms Annotations Artificial intelligence Cancer CT imaging Deep learning deep reinforcement learning Diagnostic imaging Localization Lung cancer Magnetic resonance imaging Medical imaging Medical research Methods multi-scale processing nasopharyngeal cancer localization Neural networks prior knowledge Teaching methods Tumors Ultrasonic imaging China
Online Access:	Get full text
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