Results 111 to 120 of about 5,953 (218)

基于深度学习的拼接镜共相检测新方法研究

, 2023
李斌 Li Bin, 杨阿坤 Yang Akun, 孙赵祥 Sun Zhaoxiang, Nan Chen   +3 more
openalex   +2 more sources

Prediction of pulp exposure risk of carious pulpitis based on deep learning. [PDF]

Hua Xi Kou Qiang Yi Xue Za Zhi, 2023
Wang L, Wu F, Xiao M, Chen YX, Wu L.
europepmc   +1 more source

核心素养视阈下思想政治课教学的“深度学习”

, 2019
家齐 毕
openalex   +2 more sources

深度学习单目标跟踪方法的基础架构研究进展

, 2023
许廷发 Xu Ting-fa, 王颖 Wang Ying, 史国凯 Shi Guokai, 李天昊 Li Tianhao, 李佳男 Li Jianan   +4 more
openalex   +2 more sources

[Deep learning method for magnetic resonance imaging fluid-attenuated inversion recovery image synthesis]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023
Zhou J, Guo H, Chen H.
europepmc   +1 more source

[Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban, 2023
Tao R, Ding SN, Chen J, Zhu XM, Ni ZJ, Hu LM, Zhang Y, Xu Y, Sun HQ.   +8 more
europepmc   +1 more source

Nailfold capillaroscopy and deep learning in diabetes. [PDF]

J Diabetes, 2023
Shah R, Petch J, Nelson W, Roth K, Noseworthy MD, Ghassemi M, Gerstein HC.   +6 more
europepmc   +1 more source

车辆再识别技术综述

智能科学与技术学报, 2020
车辆再识别是指给定一张车辆图像，找出其他摄像头拍摄的同一车辆，可将车辆再识别问题看作图像检索的子问题。在真实交通监控系统中，车辆再识别可以起到对目标车辆进行定位、监管、刑侦的作用。随着深度神经网络的兴起和大型数据集的提出，提升车辆再识别的准确度成为近年来计算机视觉和多媒体领域的研究热点。从不同角度对车辆再识别方法进行了分类，并从特征提取、方法设计和性能表现等方面对车辆再识别技术进行了概述、比较和分析，对车辆再识别技术面临的挑战及发展趋势进行了预测。
刘凯, 李浥东, 林伟鹏
doaj  

[Deep learning-based dose prediction in radiotherapy planning for head and neck cancer]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao, 2023
Teng L, Wang B, Feng Q.
europepmc   +1 more source

Semantic image segmentation of brain MRI with deep learning. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban, 2021
Hu Y, Zhao H, Li W, Li J.
europepmc   +1 more source