Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Bas Schipaanboord; D Boukerroui; D Peressutti; J van Soest; T Lustberg; T Kadir; AT Dekker; W van Elmpt; M Gooding

doi:10.1109/tmi.2018.2856464

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Bas Schipaanboord, D Boukerroui, D Peressutti, J van Soest, T Lustberg, T Kadir, AT Dekker, W van Elmpt, M Gooding

Radiotherapy

Research output: Contribution to journal › Article › Academic › peer-review

26 Citations (Scopus)

Original language	Undefined/Unknown
Pages (from-to)	99-106
Number of pages	8
Journal	IEEE Transactions on Medical Imaging
Volume	38
Issue number	1
DOIs	https://doi.org/10.1109/tmi.2018.2856464
Publication status	Published - 2019

Research programs

EMC MM-03-32-04

Access to Document

10.1109/tmi.2018.2856464

Cite this

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title = "Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory",

author = "Bas Schipaanboord and D Boukerroui and D Peressutti and \{van Soest\}, J and T Lustberg and T Kadir and AT Dekker and \{van Elmpt\}, W and M Gooding",

year = "2019",

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language = "Undefined/Unknown",

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pages = "99--106",

journal = "IEEE Transactions on Medical Imaging",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Schipaanboord, Bas

AU - Boukerroui, D

AU - Peressutti, D

AU - van Soest, J

AU - Lustberg, T

AU - Kadir, T

AU - Dekker, AT

AU - van Elmpt, W

AU - Gooding, M

PY - 2019

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U2 - 10.1109/tmi.2018.2856464

DO - 10.1109/tmi.2018.2856464

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JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

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