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U-Net and its extensions have achieved great success in medical image segmentation.
“U-net: Convolutional networks for biomedical image segmentation,”
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“Gaussian error linear units (gelus),”
Dan Hendrycks and Kevin Gimpel, · 2016
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“Machine learning in ultrasound computer-aided diagnostic systems: a survey,”
Qinghua Huang, Fan Zhang, and Xuelong Li, · 2018
Earlier work this paper cites.
“Unet++: A nested u-net architecture for medical image segmentation,”
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang, · 2018
Cited alongside, same era.
“Attention u-net: Learning where to look for the pancreas,”
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al., · 2018
Cited alongside, same era.
“Unet 3+: A full-scale connected unet for medical image segmentation,”
Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, and Jian Wu, · 2020
Cited alongside, same era.
“An image is worth 16x16 words: Transformers for image recognition at scale,”
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al., · 2020
Cited alongside, same era.
“Dataset of breast ultrasound images,”
Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, and Aly Fahmy, · 2020
“Transunet: Transformers make strong encoders for medical image segmentation,”
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou, · 2021
Later among the works it cites.
“Medical transformer: Gated axial-attention for medical image segmentation,”
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, and Vishal M Patel, · 2021
Later among the works it cites.
“Transbts: Multimodal brain tumor segmentation using transformer,”
Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, and Jiangyun Li, · 2021
Later among the works it cites.
“Unext: Mlp-based rapid medical image segmentation network,”
Jeya Maria Jose Valanarasu and Vishal M Patel, · 2022
Closest in time.
Asher Trockman and J Zico Kolter, · 2022
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Cited alongside, same era.
Closest in time.