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This paper aims to build a model that can Segment Anything in 3D medical images, driven by medical terminologies as Text prompts, termed as SAT.
Pubmed central: The genbank of the published literature, 2001
Richard J Roberts · 2001
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The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider · 2004
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Comparison and evaluation of methods for liver segmentation from ct datasets
Tobias Heimann, Bram Van Ginneken, Martin A Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, et al · 2009
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Learning local shape and appearance for segmentation of knee cartilage in 3d mri
Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, and Sang Uk Lee · 2010
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Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression
Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J Counsell, James P Boardman, Mary A Rutherford, A David Edwards, Joseph V Hajnal, and Daniel Rueckert · 2012
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Evaluation of prostate segmentation algorithms for mri: the promise12 challenge
Geert Litjens, Robert Toth, Wendy Van De Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram Van Ginneken, Graham Vincent, Gwenael Guillard, Neil Birbeck, Jindang Zhang, et al · 2014
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge
Bennett Landman, Zhoubing Xu, J Igelsias, Martin Styner, T Langerak, and Arno Klein · 2015
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Learning-based multi-label segmentation of transrectal ultrasound images for prostate brachytherapy
Saman Nouranian, Mahdi Ramezani, Ingrid Spadinger, William J Morris, Septimu E Salcudean, and Purang Abolmaesumi · 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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Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
Holger R Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B Turkbey, and Ronald M Summers · 2015
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Multi-scale patch and multi-modality atlases for whole heart segmentation of mri
Xiahai Zhuang and Juan Shen · 2016
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3d deeply supervised network for automated segmentation of volumetric medical images
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, and Pheng-Ann Heng · 2017
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Evaluation of segmentation methods on head and neck ct: auto-segmentation challenge 2015
Patrik F Raudaschl, Paolo Zaffino, Gregory C Sharp, Maria Francesca Spadea, Antong Chen, Benoit M Dawant, Thomas Albrecht, Tobias Gass, Christoph Langguth, Marcel Lüthi, et al · 2017
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas De Bel, Moira SN Berens, Cas Van Den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, et al · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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A radiogenomic dataset of non-small cell lung cancer
Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Majid Shafiq, Hong Zheng, Jalen Anthony Benson, Weiruo Zhang, Ann NC Leung, et al · 2018
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Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?
Olivier Bernard, Alain Lalande, Clement Zotti, Frederick Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Angel Gonzalez Ballester, et al · 2018
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H-denseunet: hybrid densely connected unet for liver and tumor segmentation from ct volumes
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, and Pheng-Ann Heng · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism
Mojtaba Masoudi, Hamid-Reza Pourreza, Mahdi Saadatmand-Tarzjan, Noushin Eftekhari, Fateme Shafiee Zargar, and Masoud Pezeshki Rad · 2018
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Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning
Ke Yan, Xiaosong Wang, Le Lu, and Ronald M Summers · 2018
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Recurrent saliency transformation network: Incorporating multi-stage visual cues for small organ segmentation
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K Fishman, and Alan L Yuille · 2018
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Neural segmentation of seeding rois (srois) for pre-surgical brain tractography
Itzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, and Arnaldo Mayer · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 2019
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, et al · 2019
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Attention gated networks: Learning to leverage salient regions in medical images
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, and Daniel Rueckert · 2019
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Automatic couinaud segmentation from ct volumes on liver using glc-unet
Jiang Tian, Li Liu, Zhongchao Shi, and Feiyu Xu · 2019
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Organ at risk segmentation in head and neck ct images using a two-stage segmentation framework based on 3d u-net
Yueyue Wang, Liang Zhao, Manning Wang, and Zhijian Song · 2019
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Unet++: Redesigning skip connections to exploit multiscale features in image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2019
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A population-based phenome-wide association study of cardiac and aortic structure and function
Wenjia Bai, Hideaki Suzuki, Jian Huang, Catherine Francis, Shuo Wang, Giacomo Tarroni, Florian Guitton, Nay Aung, Kenneth Fung, Steffen E Petersen, et al · 2020
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Segthor: Segmentation of thoracic organs at risk in ct images
Zoé Lambert, Caroline Petitjean, Bernard Dubray, and Su Kuan · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
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Spineparsenet: spine parsing for volumetric mr image by a two-stage segmentation framework with semantic image representation
Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lu, and Qianjin Feng · 2020
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Ct-org, a new dataset for multiple organ segmentation in computed tomography
Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, and Daniel L Rubin · 2020
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Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C Kitamura, Sarthak Pati, et al · 2021
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Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 2021
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Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 2021
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Meta grayscale adaptive network for 3d integrated renal structures segmentation
Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, et al · 2021
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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Harnessing progress in radiotherapy for global cancer control
David A Jaffray, Felicia Knaul, Michael Baumann, and Mary Gospodarowicz · 2023
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Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, and Rainer Stiefelhagen · 2023
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Medcpt: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval
Qiao Jin, Won Kim, Qingyu Chen, Donald C Comeau, Lana Yeganova, W John Wilbur, and Zhiyong Lu · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
Cited alongside, same era.
Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation
A Emre Kavur, N Sinem Gezer, Mustafa Barış, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, et al · 2021
Cited alongside, same era.
Deep learning to segment pelvic bones: large-scale ct datasets and baseline models
Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, and S. Kevin Zhou · 2021
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Toward data-efficient learning: A benchmark for covid-19 ct lung and infection segmentation
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, et al · 2021
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Abdomenct-1k: Is abdominal organ segmentation a solved problem?
Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, et al · 2021
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Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study
Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, Ruheena Mendes, and et al · 2021
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An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, et al · 2021
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Lndb challenge on automatic lung cancer patient management
João Pedrosa, Guilherme Aresta, Carlos Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, et al · 2021
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Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, et al · 2023
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Pmc-clip: Contrastive language-image pre-training using biomedical documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Efficient automatic segmentation for multi-level pulmonary arteries: The parse challenge
Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, et al · 2023
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Han-seg: The head and neck organ-at-risk ct and mr segmentation dataset
Gašper Podobnik, Primož Strojan, Primož Peterlin, Bulat Ibragimov, and Tomaž Vrtovec · 2023
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Myops-net: Myocardial pathology segmentation with flexible combination of multi-sequence cmr images
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Abdomenatlas-8k: Annotating 8,000 ct volumes for multi-organ segmentation in three weeks
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Yucheng Tang, Alan L Yuille, Zongwei Zhou, et al · 2023
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A tumour and liver automatic segmentation (atlas) dataset on contrast-enhanced magnetic resonance imaging for hepatocellular carcinoma
Félix Quinton, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Meriaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac, et al · 2023
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Multitalent: A multi-dataset approach to medical image segmentation
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Sam-med3d: towards general-purpose segmentation models for volumetric medical images
Haoyu Wang, Sizheng Guo, Jin Ye, Zhongyi Deng, Junlong Cheng, T Li, J Chen, Y Su, Z Huang, Y Shen, et al · 2023
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Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images
Jakob Wasserthal, Hanns-Christian Breit, Manfred T Meyer, Maurice Pradella, Daniel Hinck, Alexander W Sauter, Tobias Heye, Daniel T Boll, Joshy Cyriac, Shan Yang, et al · 2023
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Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Learning open-vocabulary semantic segmentation models from natural language supervision
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, and Weidi Xie · 2023
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Knowledge-enhanced visual-language pre-training on chest radiology images
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nnformer: volumetric medical image segmentation via a 3d transformer
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, and Yizhou Yu · 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 · 2024
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Merit: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
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Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang · 2024
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Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the flare22 challenge
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Metrics reloaded: recommendations for image analysis validation
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Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using t1 mapping
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Ov-vis: Open-vocabulary video instance segmentation
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Medtrinity-25m: A large-scale multimodal dataset with multigranular annotations for medicine
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A multimodal biomedical foundation model trained from fifteen million image–text pairs
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