GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images

Deep learning technologies have led to substantial breakthroughs in the field of biomedical image analysis. Accurate brain tumor segmentation is an essential aspect of treatment planning. Radiologists agree that manual segmentation is a difficult and time-consuming task that frequently causes delays...

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Principais autores:	Evans Kipkoech Rutoh, Qin Zhi Guang, Noor Bahadar, Rehan Raza, Muhammad Shehzad Hanif
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Springer 2024-07-01
סדרה:	Journal of King Saud University: Computer and Information Sciences
נושאים:	Brain tumor segmentation 3D inception residual U-Net Dilated convolution BraTS 2020 Deep learning Guided attention mechanism
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1319157824001757
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!