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The Segmentation Anything Model (SAM) has recently emerged as a foundation model for addressing image segmentation.
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GrabCut: interactive foreground extraction using iterated graph cuts
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Random Walks for Image Segmentation
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GeoS: Geodesic image segmentation
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Automated medical image segmentation techniques
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Playing atari with deep reinforcement learning
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An overview of interactive medical image segmentation
Feng Zhao and Xianghua Xie · 2013
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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ScribbleSup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
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DeepCut: Object segmentation from bounding box annotations using convolutional neural networks
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Deep Interactive Object Selection
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Annotating object instances with a Polygon-RNN
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Efficient interactive annotation of segmentation datasets with Polygon-RNN++
David Acuna, Huan Ling, Amlan Kar, and Sanja Fidler · 2018
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SeedNet: Automatic seed generation with deep reinforcement learning for robust interactive segmentation
Gwangmo Song, Heesoo Myeong, and Kyoung Mu Lee · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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DeepIGeoS: A deep interactive geodesic framework for medical image segmentation
Guotai Wang, Maria A Zuluaga, Wenqi Li, Rosalind Pratt, Premal A Patel, Michael Aertsen, Tom Doel, Anna L David, Jan Deprest, Sébastien Ourselin, et al · 2018
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Deep learning techniques for medical image segmentation: achievements and challenges
Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He, and Paul Kennedy · 2019
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Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W Remedios, Shunxing Bao, Bennett A Landman, Lee E Wheless, Lori A Coburn, Keith T Wilson, et al · 2023
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Accuracy of segment-anything model (SAM) in medical image segmentation tasks
Sheng He, Rina Bao, Jingpeng Li, P Ellen Grant, and Yangming Ou · 2023
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Segment anything model for medical images?
Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, et al · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Iteratively-refined interactive 3d medical image segmentawenhaotion with multi-agent reinforcement learning
Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, and Ya Zhang · 2020
Cited alongside, same era.
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
Cited alongside, same era.
Interactive medical image segmentation with self-adaptive confidence calibration
Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, and Xiangfeng Wang · 2021
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Boundary-aware supervoxel-level iteratively refined interactive 3d image segmentation with multi-agent reinforcement learning
Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, and Ya Zhang · 2021
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nnFormer: Interleaved transformer for volumetric segmentation
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, and Yizhou Yu · 2021
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus · 2022
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Yihao Liu, Jiaming Zhang, Zhangcong She, Amir Kheradmand, and Mehran Armand · 2023
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Segment anything in medical images
Jun Ma and Bo Wang · 2023
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Christian Mattjie, Luis Vinicius de Moura, Rafaela Cappelari Ravazio, Lucas Silveira Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, and Rodrigo Coelho Barros · 2023
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Segment anything model for medical image analysis: an experimental study
Maciej A Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, and Yixin Zhang · 2023
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Brain extraction comparing segment anything model (SAM) and fsl brain extraction tool
Sovesh Mohapatra, Advait Gosai, and Gottfried Schlaug · 2023
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SAM.MD: Zero-shot medical image segmentation capabilities of the segment anything model
Saikat Roy, Tassilo Wald, Gregor Koehler, Maximilian R Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, and Klaus H Maier-Hein · 2023
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Medical SAM adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
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A comprehensive survey on segment anything model for vision and beyond
Chunhui Zhang, Li Liu, Yawen Cui, Guanjie Huang, Weilin Lin, Yiqian Yang, and Yuehong Hu · 2023
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Customized segment anything model for medical image segmentation
Kaidong Zhang and Dong Liu · 2023
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How segment anything model (SAM) boost medical image segmentation?
Yichi Zhang and Rushi Jiao · 2023
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Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, and Chen Gong · 2023
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