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The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation.
2017 Robotic Instrument Segmentation Challenge
Allan, M.; Shvets, A.; Kurmann, T.; Zhang, Z.; Duggal, R.; Su, Y.-H.; Rieke, N.; Laina, I.; Kalavakonda, N.; Bodenstedt, S.; Herrera, L.; Li, W.; Iglovikov, V.; Luo, H.; Yang, J.; Stoyanov, D.; Maier-Hein, L.; Speidel, S.; and Azizian, M. 2019 · 1902
Earlier work this paper cites.
Temporal Memory Relation Network for Workflow Recognition From Surgical Video
Jin, Y.; Long, Y.; Chen, C.; Zhao, Z.; Dou, Q.; and Heng, P.-A. 2021 · 1923
Earlier work this paper cites.
2018 Robotic Scene Segmentation Challenge
Allan, M.; Kondo, S.; Bodenstedt, S.; Leger, S.; Kadkhodamohammadi, R.; Luengo, I.; Fuentes, F.; Flouty, E.; Mohammed, A.; Pedersen, M.; Kori, A.; Alex, V.; Krishnamurthi, G.; Rauber, D.; Mendel, R.; Palm, C.; Bano, S.; Saibro, G.; Shih, C.-S.; Chiang, H.-A.; Zhuang, J.; Yang, J.; Iglovikov, V.; Dobrenkii, A.; Reddiboina, M.; Reddy, A.; Liu, X.; Gao, C.; Unberath, M.; Kim, M.; Kim, C.; Kim, C.; Kim, H.; Lee, G.; Ullah, I.; Luna, M.; Park, S. H.; Azizian, M.; Stoyanov, D.; Maier-Hein, L.; and Speidel, S. 2020 · 2001
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Lin, T.-Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Milletari, F.; Navab, N.; and Ahmadi, S.-A. 2016 · 2016
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Supervised Autonomous Robotic Soft Tissue Surgery
Shademan, A.; Decker, R. S.; Opfermann, J. D.; Leonard, S.; Krieger, A.; and Kim, P. C. 2016 · 2016
Earlier work this paper cites.
Mask R-CNN
He, K.; Gkioxari, G.; Dollár, P.; and Girshick, R. 2017 · 2017
Earlier work this paper cites.
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
Shvets, A. A.; Rakhlin, A.; Kalinin, A. A.; and Iglovikov, V. I. 2018 · 2018
Earlier work this paper cites.
Virtual or Augmented Reality to Enhance Surgical Education and Surgical Planning
Cao, C.; and Cerfolio, R. J. 2019 · 2019
Earlier work this paper cites.
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
Jin, Y.; Cheng, K.; Dou, Q.; and Heng, P.-A. 2019 · 2019
Earlier work this paper cites.
On Variational Bounds of Mutual Information
Poole, B.; Ozair, S.; Van Den Oord, A.; Alemi, A.; and Tucker, G. 2019 · 2019
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Representation Learning with Contrastive Predictive Coding
van den Oord, A.; Li, Y.; and Vinyals, O. 2019 · 2019
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Video Instance Segmentation
Yang, L.; Fan, Y.; and Xu, N. 2019 · 2019
Earlier work this paper cites.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2020
Earlier work this paper cites.
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
González, C.; Bravo-Sánchez, L.; and Arbelaez, P. 2020 · 2020
Earlier work this paper cites.
Multitask Learning for Video-based Surgical Skill Assessment
Jian, Z.; Yue, W.; Wu, Q.; Li, W.; Wang, Z.; and Lam, V. 2020 · 2020
Cited alongside, same era.
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments
Ni, Z.-L.; Bian, G.-B.; Wang, G.-A.; Zhou, X.-H.; Hou, Z.-G.; Chen, H.-B.; and Xie, X.-L. 2020 · 2020
Cited alongside, same era.
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Zhang, J.; and Tao, D. 2020 · 2020
Cited alongside, same era.
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Zhao, Z.; Jin, Y.; Gao, X.; Dou, Q.; and Heng, P.-A. 2020 · 2020
Cited alongside, same era.
Towards Unified Surgical Skill Assessment
Liu, D.; Li, Q.; Jiang, T.; Wang, Y.; Miao, R.; Shan, F.; and Li, Z. 2021 · 2021
Cited alongside, same era.
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
He, S.; Bao, R.; Li, J.; Stout, J.; Bjornerud, A.; Grant, P. E.; and Ou, Y. 2023 · 2023
Closest in time.
Segment Anything Model for Medical Images?
Huang, Y.; Yang, X.; Liu, L.; Zhou, H.; Chang, A.; Zhou, X.; Chen, R.; Yu, J.; Chen, J.; Chen, C.; et al. 2023 · 2023
Closest in time.
Segment Anything
Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; Dollar, P.; and Girshick, R. 2023 · 2023
Closest in time.
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Li, Y.; Zhang, J.; Teng, X.; and Lan, L. 2023 · 2023
Closest in time.
Segment Anything in Medical Images
Ma, J.; He, Y.; Li, F.; Han, L.; You, C.; and Wang, B. 2023 · 2023
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Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I. 2021 · 2021
Cited alongside, same era.
Masked-attention Mask Transformer for Universal Image Segmentation
Cheng, B.; Misra, I.; Schwing, A. G.; Kirillov, A.; and Girdhar, R. 2022 · 2022
Cited alongside, same era.
Machine Learning for Technical Skill Assessment in Surgery: A Systematic Review
Lam, K.; Chen, J.; Wang, Z.; Iqbal, F. M.; Darzi, A.; Lo, B.; Purkayastha, S.; and Kinross, J. M. 2022 · 2022
Cited alongside, same era.
Surgical Data Science – from Concepts toward Clinical Translation
Maier-Hein, L.; Eisenmann, M.; Sarikaya, D.; März, K.; Collins, T.; Malpani, A.; Fallert, J.; Feussner, H.; Giannarou, S.; Mascagni, P.; et al. 2022 · 2022
Cited alongside, same era.
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery
Zhao, Z.; Jin, Y.; and Heng, P.-A. 2022 · 2022
Cited alongside, same era.
MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation
Ayobi, N.; Pérez-Rondón, A.; Rodríguez, S.; and Arbeláez, P. 2023 · 2023
Cited alongside, same era.
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
Baby, B.; Thapar, D.; Chasmai, M.; Banerjee, T.; Dargan, K.; Suri, A.; Banerjee, S.; and Arora, C. 2023 · 2023
Cited alongside, same era.
Closest in time.
Augmented Reality in Surgical Navigation: A Review of Evaluation and Validation Metrics
Malhotra, S.; Halabi, O.; Dakua, S. P.; Padhan, J.; Paul, S.; and Palliyali, W. 2023 · 2023
Closest in time.
Segment Anything Model for Medical Image Analysis: An Experimental Study
Mazurowski, M. A.; Dong, H.; Gu, H.; Yang, J.; Konz, N.; and Zhang, Y. 2023 · 2023
Closest in time.
The Role of Augmented Reality in Surgical Training: A Systematic Review
Suresh, D.; Aydin, A.; James, S.; Ahmed, K.; and Dasgupta, P. 2023 · 2023
Closest in time.
SAM. MD: Zero-Shot Medical Image Segmentation Capabilities of the Segment Anything Model
Wald, T.; Roy, S.; Koehler, G.; Disch, N.; Rokuss, M. R.; Holzschuh, J.; Zimmerer, D.; and Maier-Hein, K. 2023 · 2023
Closest in time.
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Wu, J.; Zhang, Y.; Fu, R.; Fang, H.; Liu, Y.; Wang, Z.; Xu, Y.; and Jin, Y. 2023 · 2023
Closest in time.
RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images
Yan, Z.; Li, J.; Li, X.; Zhou, R.; Zhang, W.; Feng, Y.; Diao, W.; Fu, K.; and Sun, X. 2023 · 2023
Closest in time.
Track Anything: Segment Anything Meets Videos
Yang, J.; Gao, M.; Li, Z.; Gao, S.; Wang, F.; and Zheng, F. 2023 · 2023
Closest in time.
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis
Yue, W.; Liao, H.; Xia, Y.; Lam, V.; Luo, J.; and Wang, Z. 2023 · 2023
Closest in time.
Customized Segment Anything Model for Medical Image Segmentation
Zhang, K.; and Liu, D. 2023 · 2023
Closest in time.
Personalize Segment Anything Model with One Shot
Zhang, R.; Jiang, Z.; Guo, Z.; Yan, S.; Pan, J.; Ma, X.; Dong, H.; Gao, P.; and Li, H. 2023 · 2023
Closest in time.