MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

• Published in: Neural networks Vol. 121; pp. 74 - 87
• Main Authors: Ibtehaz, Nabil, Rahman, M. Sohel
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.01.2020
• Subjects: Convolutional neural networks; Deep Learning; Humans; Image Processing, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Magnetic Resonance Imaging - methods; Medical imaging; Microscopy, Fluorescence - methods; Neural Networks, Computer; Semantic segmentation; U-Net; Medical imaging; Semantic segmentation; Convolutional neural networks; U-Net

In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimodal medical images, through extensive experimentat...