CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

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Head-and-neck squamous cell carcinoma patients with ct taken during pre-treatment, mid-treatment, and post-treatment dataset. the cancer imaging archive, 2008

Tatiana Bejarano, M De Ornelas Couto, and I Mihaylov · 2008

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Accuracy of ct colonography for detection of large adenomas and cancers

C Daniel Johnson, Mei-Hsiu Chen, Alicia Y Toledano, Jay P Heiken, Abraham Dachman, Mark D Kuo, Christine O Menias, Betina Siewert, Jugesh I Cheema, Richard G Obregon, et al · 2008

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A framework for automated spine and vertebrae interpolation-based detection and model-based segmentation

Robert Korez, Bulat Ibragimov, Boštjan Likar, Franjo Pernuš, and Tomaž Vrtovec · 2015

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U-net: Convolutional networks for biomedical image segmentation

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Vertebral compression fracture after spine stereotactic body radiation therapy: a review of the pathophysiology and risk factors

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Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

Nikolas Lessmann, Bram Van Ginneken, Pim A De Jong, and Ivana Išgum · 2019

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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Original

Amber L Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram Van Ginneken, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, et al · 2019

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Handbook of medical image computing and computer assisted intervention

S Kevin Zhou, Daniel Rueckert, and Gabor Fichtinger · 2019

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Computational Methods and Clinical Applications for Spine Imaging

Coarse to fine vertebrae localization and segmentation with spatialconfiguration-net and u-net

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Saint: spatially aware interpolation network for medical slice synthesis

Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, and S Kevin Zhou · 2020

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Verse: a vertebrae labelling and segmentation benchmark

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Anjany Sekuboyina, Amirhossein Bayat, Malek E Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, et al · 2020

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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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