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Interactive medical image segmentation (IMIS) has shown significant potential in enhancing segmentation accuracy by integrating iterative feedback from medical professionals.
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The multimodal brain tumor image segmentation benchmark (brats)
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U-Net: Convolutional networks for biomedical image segmentation
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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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Annotating object instances with a Polygon-RNN
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, and Sanja Fidler · 2017
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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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Iterative interaction training for segmentation editing networks
Gustav Bredell, Christine Tanner, and Ender Konukoglu · 2018
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DeepMind · 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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DeepIGeoS: A deep interactive geodesic framework for medical image segmentation
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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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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
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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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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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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Interactive medical image segmentation with self-adaptive confidence calibration
Chunlin Shen, Wen Li, Qiang Xu, et al · 2023
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Medical SAM adapter: Adapting segment anything model for medical image segmentation
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Swin-Unet: Unet-like pure transformer for medical image segmentation
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang · 2023
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Sam on medical images: A comprehensive study on three prompt modes
Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, and Kang Li · 2023
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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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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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SAMM (segment any medical model): A 3D slicer integration to SAM
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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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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Segment anything model 2: an application to 2d and 3d medical images
Haoyu Dong, Hanxue Gu, Yaqian Chen, Jichen Yang, and Maciej A Mazurowski · 2024
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Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan Yuille, Yucheng Tang, et al · 2024
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Sam 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, and Christoph Feichtenhofer · 2024
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Efficient 3d representation learning for medical image analysis
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Medical sam 2: Segment medical images as video via segment anything model 2
Jiayuan Zhu, Yunli Qi, and Junde Wu · 2024
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