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Keqiang Yue

Showing results (1-10 of 10) with videos related to

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Computational and Mathematical Methods in Medicine|April 21, 2021
A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep LearningHao Liu, Keqiang Yue, Siyi Cheng, et al.
Scientific Reports|August 28, 2023
Automatic snoring detection using a hybrid 1D-2D convolutional neural networkRuixue Li, Wenjun Li, Keqiang Yue, et al.
Computational Intelligence and Neuroscience|June 17, 2021
Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNNWenjun Li, Siyi Cheng, Kai Qian, et al.
Journal of Healthcare Engineering|January 18, 2021
Detection of Snore from OSAHS Patients Based on Deep LearningFanlin Shen, Siyi Cheng, Zhu Li, et al.
Medical & Biological Engineering & Computing|May 1, 2024
Adversarial attacks and adversarial training for burn image segmentation based on deep learningLuying Chen, Jiakai Liang, Chao Wang, et al.
Journal of Healthcare Engineering|October 28, 2020
Hybrid Model Structure for Diabetic Retinopathy ClassificationHao Liu, Keqiang Yue, Siyi Cheng, et al.
Entropy (Basel, Switzerland)|February 25, 2023
Attention-Based Convolutional Neural Network for Ingredients IdentificationShi Chen, Ruixue Li, Chao Wang, et al.
Entropy (Basel, Switzerland)|November 11, 2022
A Spiking Neural Network Based on Retinal Ganglion Cells for Automatic Burn Image SegmentationJiakai Liang, Ruixue Li, Chao Wang, et al.
Entropy (Basel, Switzerland)|July 8, 2023
Deep Reinforcement Learning Based Decision Making for Complex Jamming WaveformsYuting Xu, Chao Wang, Jiakai Liang, et al.
Entropy (Basel, Switzerland)|December 23, 2022
Path Planning Research of a UAV Base Station Searching for Disaster Victims' Location Information Based on Deep Reinforcement LearningJinduo Zhao, Zhigao Gan, Jiakai Liang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Computational and Mathematical Methods in Medicine|April 21, 2021
A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep LearningHao Liu, Keqiang Yue, Siyi Cheng, et al.
Scientific Reports|August 28, 2023
Automatic snoring detection using a hybrid 1D-2D convolutional neural networkRuixue Li, Wenjun Li, Keqiang Yue, et al.
Computational Intelligence and Neuroscience|June 17, 2021
Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNNWenjun Li, Siyi Cheng, Kai Qian, et al.
Journal of Healthcare Engineering|January 18, 2021
Detection of Snore from OSAHS Patients Based on Deep LearningFanlin Shen, Siyi Cheng, Zhu Li, et al.
Medical & Biological Engineering & Computing|May 1, 2024
Adversarial attacks and adversarial training for burn image segmentation based on deep learningLuying Chen, Jiakai Liang, Chao Wang, et al.
Journal of Healthcare Engineering|October 28, 2020
Hybrid Model Structure for Diabetic Retinopathy ClassificationHao Liu, Keqiang Yue, Siyi Cheng, et al.
Entropy (Basel, Switzerland)|February 25, 2023
Attention-Based Convolutional Neural Network for Ingredients IdentificationShi Chen, Ruixue Li, Chao Wang, et al.
Entropy (Basel, Switzerland)|November 11, 2022
A Spiking Neural Network Based on Retinal Ganglion Cells for Automatic Burn Image SegmentationJiakai Liang, Ruixue Li, Chao Wang, et al.
Entropy (Basel, Switzerland)|July 8, 2023
Deep Reinforcement Learning Based Decision Making for Complex Jamming WaveformsYuting Xu, Chao Wang, Jiakai Liang, et al.
Entropy (Basel, Switzerland)|December 23, 2022
Path Planning Research of a UAV Base Station Searching for Disaster Victims' Location Information Based on Deep Reinforcement LearningJinduo Zhao, Zhigao Gan, Jiakai Liang, et al.
Pageof 1