Results 261 to 270 of about 5,543,646 (278)

Stagnant Zone Segmentation with U-Net

2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019
Silo discharging and monitoring process for industrial or research application depend on computerized segmentation of different parts of images such as stagnant and flowing zones which is the toughest task. X-ray Computed Tomography (CT) is one of a powerful non-destructive technique for cross-sectional images of a 3D object based on X-ray absorption ...
Selam Waktola, Krzysztof Grudzien, Laurent Babout   +2 more
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Brain Tumor Segmentation Using U-net and U-net++ Networks

2022 30th International Conference on Electrical Engineering (ICEE), 2022
Seyyed Ali Mortazavi-Zadeh, Alireza Amini, Hamid Soltanian-Zadeh   +2 more
openaire   +1 more source

Integration of U-Net into Windows/NT

1998
U-Net provides user-level network access such that applications can send and receive messages without operating system intervention on every send and receive. The network is exposed to applications as a pair of transmit and receive buffer queues. Depending on the sophistication of the network interface hardware, these queues are serviced directly in ...
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U-Net

Proceedings of the fifteenth ACM symposium on Operating systems principles - SOSP '95, 1995
T. von Eicken, A. Basu, V. Buch, W. Vogels   +3 more
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Sharp dense U-Net: an enhanced dense U-Net architecture for nucleus segmentation

International Journal of Machine Learning and Cybernetics, 2023
Pradip Senapati, Anusua Basu, Mainak Deb, Krishna Gopal Dhal   +3 more
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Transclaw U-Net: Claw U-Net With Transformers for Medical Image Segmentation

2022 5th International Conference on Information Communication and Signal Processing (ICICSP), 2022
Chang Yao, Menghan Hu, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang   +4 more
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U-Net Hardware Accelerator

2024 IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Tee Hui Teo, Huan-Ke Hsu, Yu-Chiau Chen, I-Chyn Wei   +3 more
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Segmenting Brain Tumors with Deep Learning: U-Net, U-Net with ResNet, and U-Net++

Jhanavi Malhotra, Kavisha Gupta, Kavya Singla, Himanshu Mittal   +3 more
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Graph isomorphism U-Net

Expert Systems with Applications
Alireza Amouzad, Zahra Dehghanian, Saeed Saravani, Maryam Amirmazlaghani, Behnam Roshanfekr   +4 more
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CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation

2025 International Joint Conference on Neural Networks (IJCNN)
Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique 0001   +3 more
openaire   +1 more source