Výsledky vyhledávání - "convolutional neural network-based methods"

A Spatial Alignment Method for Medical Ear Canal Based on Simplified Transformer Module and MultiScale Iterative Structure Autor Luan, Chaokun, Zhang, Qinglei, Zhou, Ying, Liu, Weiping, Shu, Biao, Li, Zhijian, Liu, Xiaoyao, Yang, Haopeng

“… In the field of deformation image alignment, convolutional neural network-based methods have a local acceptance domain and cannot handle deformed images…”
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Convolutional neural networks-based method for skin hydration measurements in high resolution MRI Autor Zegour, Rachida, Belaid, Ahror, Ognard, Julien, Ben Salem, Douraied

“… Despite the small number of subjects studied, we were able to build a convolutional neural network (CNN…”
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Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy Autor Huang, Yu-Long, Lin, Yi-Ru, Tsai, Shang-Yueh

“…Background Quantification of metabolites concentrations in institutional unit (IU) is important for inter-subject and long-term comparisons in the applications of magnetic resonance spectroscopy…”
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Dual-feature Fusion Attention Network for Small Object Segmentation Autor Fei, Xin, Li, Xiaojie, Shi, Canghong, Ren, Hongping, Mumtaz, Imran, Guo, Jun, Wu, Yu, luo, Yong, Lv, Jiancheng, Wu, Xi

“… Automatic segmentation remains a challenging task owing to the variation (in shape and size) across subjects. Moreover, existing convolutional neural networks based…”
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Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks Autor Majdi, Mohammad S., Keerthivasan, Mahesh B., Rutt, Brian K., Zahr, Natalie M., Rodriguez, Jeffrey J., Saranathan, Manojkumar

“…To develop a fast and accurate convolutional neural network based method for segmentation of thalamic nuclei…”
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Convolutional neural network approach for motor imagery and steady-state somatosensory evoked potential-based hybrid brain-computer interface using dry electrodes Autor Kim, Keun-Tae, Lee, Jaehyung, Lee, Song Joo

“…) BCI combining MI and SA using dry electrodes. Eight healthy subjects participated in the experiments, during which they performed MI, SA, and HY tasks while wearing an electroencephalogram (EEG…”
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Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices Autor Saavedra-Pena, Gladynel, Hsin-Yu Lai, Sze, Vivienne, Heldt, Thomas

“… Here, we present a novel, deep convolutional-neural-network-based method to measure saccade latency outside of the clinical environment using a smartphone camera without the need for supplemental…”
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Convolutional Neural Network-Based Automatic Segmentation of Substantia Nigra on Nigrosome and Neuromelanin Sensitive MR Images Autor Kang, Junghwa, Kim, Hyeonha, Kim, Eunjin, Kim, Eunbi, Lee, Hyebin, Shin, Na-young, Nam, Yoonho

“… The deep convolutional neural network was trained to automatically segment substantia nigra regions on 3D nigrosome and neuromelanin sensitive MR images obtained from 30 subjects…”
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MIDV-2020: a comprehensive benchmark dataset for identity document analysis Autor Bulatov, K.B., Emelianova, E.V., Tropin, D.V., Skoryukina, N.S., Chernyshova, Y.S., Sheshkus, A.V., Usilin, S.A., Ming, Z., Burie, J.-C., Luqman, M.M., Arlazarov, V.V.

“… Significant amount of research has been published on this topic in recent years, however a chief difficulty for such research is scarcity of datasets, due to the subject matter being protected by security requirements…”
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