[HTML][HTML] 人工智能在脊柱畸形诊疗中的应用
吴南， 仉建国， 朱源棚， 陈癸霖… - 山东大学学报(医学 …, 2023 - yxbwk.njournal.sdu.edu.cn
… This paper will review the latest advances. … A Kohonen neural network description of scoliosis
fused regions and … A deep learning framework for segmentation and pose estimation of …
fused regions and … A deep learning framework for segmentation and pose estimation of …
解码退化: 机器学习在神经退行性疾病临床检测中的应用
F Khaliq, J Oberhauser, D Wakhloo… - 中国神经再生研究(英文 …, 2023 - sjzsyj.com.cn
… of robot-assisted surgery. However, the most recent growth and development in AI have come
via advancements in machine learning (… This unsupervised generative neural network is …
via advancements in machine learning (… This unsupervised generative neural network is …
視覺對話: 基於影像的中文回覆生成
朱啟維 - 2019 - tdr.lib.ntu.edu.tw
… into dialogue using deep learning techniques. Moreover, the … domains mainly focus on
the ability to describe images and … translation task by a deep Convolutional Neural Network (…
the ability to describe images and … translation task by a deep Convolutional Neural Network (…
智能无人自主系统发展趋势
张涛， 李清， 张长水， 梁华为， 李平… - 信息与电子工程前沿 …, 2022 - fitee.zjujournals.com
… the ability to learn a specified task with the collected data. … Simple recurrent neural network
(RNN) architectures have … in applied deep neural networks in reinforcement learning has …
(RNN) architectures have … in applied deep neural networks in reinforcement learning has …
智慧服務機器人基於遞迴類神經網路進行未知室內語意導航之研究
陳長鈞 - 2017 - tdr.lib.ntu.edu.tw
… In this research, we aim to implement the ability of navigating … We use the method of machine
learning to construct the … We evaluate the effectiveness of our neural network during the …
learning to construct the … We evaluate the effectiveness of our neural network during the …
基於內視鏡影像序列之手術器械辨識與追蹤
陳俊儒， 宋開泰 - 2013 - ir.lib.nycu.edu.tw
… The objective of this study is to design an image tracking algorithm … ’s skills and autonomously
adjust the endoscope. For this … the spiking neural network and its learning process. After …
adjust the endoscope. For this … the spiking neural network and its learning process. After …
基于Xception-LSTM 的下肢运动能力评价方法
张燕， 王铭玥， 王婕， 姜恺宁， 张筠晗 - 中国康复理论与实践, 2020 - cjrtponline.com
… the lower limb motor ability. Methods From August, 2016 to March, … 卷积神经网络(convolutional
neural network, CNN) 在计算机视觉,… Control strategies for effective robot assisted gait …
neural network, CNN) 在计算机视觉,… Control strategies for effective robot assisted gait …
[HTML][HTML] 用深度學習理論做時域, 頻域相關的腦電特徵多類別的分類
W Wang - 2022 - ir.lib.ncu.edu.tw
… The purpose of this study is to develop a multi-output brainwave signal extraction model
using deep learning … the Keras deep learning framework, using supervised learning (supervised …
using deep learning … the Keras deep learning framework, using supervised learning (supervised …
[PDF][PDF] 双编码特征注意网络的手术器械分割
杨磊， 谷玉格， 边桂彬， 刘艳红 - 中国图象图形学报, 2023 - cjig.cn
… former and convolutional neural network (CNN)based dual-encoder fusion segmentation …
provide a potential ability for robot-assisted surgery further. Key words:deep learning;surgical …
provide a potential ability for robot-assisted surgery further. Key words:deep learning;surgical …
人工智能在脊髓神经损伤与修复领域研究热点的可视化分析
杨彬， 陶广义， 杨顺， 许俊杰， 黄俊卿 - 中国组织工程研究, 2025 - cjter.com
… (3) Keyword burst analysis showed that deep learning and … A robot-assisted laparoscopic
revision of an artificial urinary … -modified neural stem cell-derived neural network tissue with …
revision of an artificial urinary … -modified neural stem cell-derived neural network tissue with …