Results 151 to 160 of about 12,457,928 (304)

From uncertainty to adaptivity : multiscale edge detection and image segmentation [PDF]

This thesis presents the research on two different tasks in computer vision: edge detection and image segmentation (including texture segmentation and motion field segmentation).
Liang, Kung-Hao
core  

Generative Semantic Segmentation

, 2023
We present Generative Semantic Segmentation (GSS), a generative learning approach for semantic segmentation. Uniquely, we cast semantic segmentation as an image-conditioned mask generation problem. This is achieved by replacing the conventional per-pixel
Zhu, Xiatian, Zhang, Li, Chen, Jiaqi, Lu, Jiachen   +3 more
core  

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

Advanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye, Miaoru Han, Siqiao Tang, Zongxiang Zhang, Haichen Shen, Bingzhen Sun, Yan Zhang, Xiaodong Chu, Lijuan Deng, Chaoyang Zheng, Qingchun Huang, Kun Bao, Ronghua Zhang, Yong Wang, Fengwei Zhang, Xiaoli Chu   +15 more
wiley   +1 more source

A Novel Upsampling and Context Convolution for Image Semantic Segmentation. [PDF]

Sensors (Basel), 2021
Sediqi KM, Lee HJ.
europepmc   +1 more source

Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications

Advanced Science, EarlyView.
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin, Shuo Sun, Jiahao Zhang, Jianuo Hu, Yubin Qiao, Liang Chen, Jin Li   +6 more
wiley   +1 more source

An One-step Triple Enhanced weakly supervised semantic segmentation using image-level labels.

PLoS ONE
Weakly supervised semantic segmentation, based on image-level labels, abandons the pixel-level labels relied upon by traditional semantic segmentation algorithms.
Longjie Quan, Dandan Huang, Zhi Liu, Kai Gao, Xiaohong Mi   +4 more
doaj   +1 more source

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection. [PDF]

Comput Intell Neurosci, 2021
Valizadeh A, Shariatee M.
europepmc   +1 more source

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.

Medical image segmentation, or computing voxel-wise semantic masks, is a fundamental yet challenging task in medical imaging domain. To increase the ability of encoder-decoder neural networks to perform this task across large clinical cohorts ...
Tang, Y, Yang, Q, Huo, Y, Yu, X, Landman, BA, Lee, HH, Bao, S, Remedios, LW, Cai, LY   +8 more
core   +1 more source

Highly Linear Perovskite Synapses for Neuromorphic Computing

Advanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun, Boyu Wan, Zifan Zhang, Zhikai Wang, Xuan Zhao, Haonan Si, Qingliang Liao, Yue Zhang   +7 more
wiley   +1 more source

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation. [PDF]

Sensors (Basel), 2021
Wang W, Li Q, Xiao C, Zhang D, Miao L, Wang L.   +5 more
europepmc   +1 more source