R2U-Net: A Deep Learning Model for Medical Image Segmentation

The R2U-Net is a deep learning model for medical image segmentation that combines U-Net, ResNet, and recurrent neural network (RCNN).

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Md Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M Taha, Vijayan K Asari (2024). Dataset: R2U-Net: A Deep Learning Model for Medical Image Segmentation. https://doi.org/10.57702/aw4m6rby

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Author Md Zahangir Alom
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Mahmudul Hasan
Chris Yakopcic
Tarek M Taha
Vijayan K Asari