IEEE Najah Student branch was established in 2009 at the faculty of engineering. Since then, IEEE Najah SB has taken the initiation and the commitment to spread technological awareness and improve both technical and non technical skills of Palestinian students as well as working on developing scientific research in Palestine.

2024年10月10日 · 本文介绍了nnU-Net（"no-new-Net"），这是一个基于2D和3D基础U-Net的稳健且自适应的框架。 我们强烈主张去除许多网络设计中的冗余特性，专注于真正影响性能和泛化能力的关键方面。 我们在医学分割十项全能挑战赛（Medical Segmentation Decathlon challenge）中评估了nnU-Net，该挑战赛测试了十个不同领域的分割性能，涵盖了不同的实体、图像模态、图像几何和数据集规模，且在数据集之间不允许进行手动调整。 在提交时，nnU-Net在挑战赛的在 …

2024年5月31日 · We propose SE-nnU-Net by adapting SE (squeeze and excitation) normalization into nnU-Net, so as to segment head and neck tumors in PET/CT images by combining advantages of SE capturing features of interest regions and nnU-Net configuring itself for a specific task. The basic module referred to convolution-ReLU-SE is designed for SE-nnU-Net.

By harnessing both structural and functional information from input images, nnU-Net independently trains two streams, combining their outputs for comprehensive segmentation. With the integration of skip connections and residual mappings, nnU-Net captures diverse features while reducing parameters, thereby enhancing convergence.

On the brain tumor dataset BraTS 2020, our network achieves dice scores of 79.2%, 91.2%, and 84.8% for enhancing tumor (ET), whole tumor (WT), and tumor core (TC), respectively, with only 2.51M parameters and 55.26G FLOPS.

2020年12月7日 · We developed nnU-Net, a deep learning-based segmentation method that automatically configures itself, including preprocessing, network architecture, training and post-processing for any new task....

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2021年1月31日 · We developed nnU-Net, a deep learning-based segmentation method that automatically configures itself, including preprocessing, network architecture, training and post-processing for any new task. The key design choices in this process are modeled as a set of fixed parameters, interdependent rules and empirical decisions.

2021年3月26日 · In the following, we will investigate nnU-Net’s suitability for brain tumor segmentation. We use nnU-Net both as a baseline algorithm and as a framework for model development.

2025年2月28日 · 55 likes, 6 comments - ieee_nnu on February 28, 2025‎: ". تتقدم أسرة IEEE بأحر التهاني بحلول شهر رمضان المبارك 🌙 اللهم اجعلنا من عتقاء هذا الشهر الكريم، واغفر لنا ذنوبنا، وتقبل منا صالح الأعمال.