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VM-UNet: Vision Mamba UNet for Medical Image Segmentation

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long-range modeling capabilities, whereas Transformers are hampered by their quadratic ...
Jiacheng Ruan   +2 more
semanticscholar   +1 more source

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions

Comput. Biol. Medicine
Due to the inherent flexibility of prompting, foundation models have emerged as the predominant force in the fields of natural language processing and computer vision.
Yichi Zhang, Zhenrong Shen, Rushi Jiao
semanticscholar   +1 more source

Image Segmentation

2021
Anurag Jindal   +4 more
  +5 more sources

Image segmentation

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
openaire   +2 more sources

Image Segmentation

2014
Miquel Feixas   +4 more
  +4 more sources

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

Ultrafast machine vision with 2D material neural network image sensors

Nature, 2020
Lukas Mennel   +2 more
exaly  

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