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Stagnant Zone Segmentation with U-Net
2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019Silo 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 +2 more
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Brain Tumor Segmentation Using U-net and U-net++ Networks
2022 30th International Conference on Electrical Engineering (ICEE), 2022Seyyed Ali Mortazavi-Zadeh +2 more
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Integration of U-Net into Windows/NT
1998U-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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Proceedings of the fifteenth ACM symposium on Operating systems principles - SOSP '95, 1995
T. von Eicken +3 more
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T. von Eicken +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, 2023Pradip Senapati +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), 2022Chang Yao +4 more
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From Low- to Net-Zero Carbon Cities: The Next Global Agenda
Annual Review of Environment and Resources, 2021Anu Rámaswámí, Bo Qin, Karen Seto
exaly
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Neural Networks, 2020M Sohel Rahman, Nabil Ibtehaz
exaly

