May 29, 2020 · In this paper, we propose a Hybrid Two-Track U-Net(HTTU-Net) architecture for brain tumor segmentation. This architecture leverages the use of ...
In this paper, we propose a Hybrid Two-Track U-Net(HTTU-Net) architecture for brain tumor segmentation. This architecture leverages the use of Leaky Relu ...
The proposed HTTU-Net architecture is sufficient for the segmentation of brain tumors and achieves highly accurate results, which confirms that the results ...
Jun 10, 2020 · The proposed HTTU-Net architecture is sufficient for the segmentation of brain tumors and achieves highly accurate results. Other quantitative ...
A Bidirectional Long Short Term Memory Based Ionospheric foF2 and hmF2 Models for a Single Station i · Design of Early Fatigue Detection Elements of a Wearable ...
Aboelenein et al. [14] proposed a hybrid two track UNet (HTTU-Net), in which the first track focuses on the shape and size of tumors, while the second track ...
Feb 22, 2024 · This content isn't available. HTTU Net Hybrid Two Track U Net for Automatic ...
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Design of Novel Brain Tumor Segmentation System Using Hybrid ...
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In 2020, Aboeleneine et al. raised the “Hybrid Two-Track U-Net (HTTU-Net)” for segmenting the tumor region, which was developed with Rectified ...
This study systematically evaluated the performance of automated brain tumor detection and segmentation methods, and assessed the quality of reporting using the ...
May 22, 2024 · In this research paper, we propose a novel Hybrid Multihead Attentive U-Net architecture, to address the challenges in accurate brain tumor segmentation.