Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach

1 code implementation • 25 Jan 2023 • Reza Azad, Yiwei Jia, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

(3) In contrast to a bridge that only contains token-wise self-attention, we propose a Dual Transformer Bridge that also includes channel-wise self-attention to exploit correlations between scales at different stages from a dual perspective.

Image Segmentation Lesion Segmentation +3

Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review

1 code implementation • 9 Jan 2023 • Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof

The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision.

Medical Image Segmentation Review: The success of U-Net

1 code implementation • 27 Nov 2022 • Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof

U-Net is the most widespread image segmentation architecture due to its flexibility, optimized modular design, and success in all medical image modalities.

Image Segmentation Medical Image Segmentation +1