Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT

Louis Rebaud; Thibault Escobar; Fahad Khalid; Kibrom Berihu Girum; Irène Buvat

doi:10.1007/978-3-031-27420-6_13

Book Sections Year : 2023

Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT

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1

Louis Rebaud

Function : Author

Thibault Escobar

Function : Author
PersonId : 1296005
IdHAL : esc-hal
ORCID : 0000-0003-4382-183X

Fahad Khalid

Function : Author

Kibrom Berihu Girum

Function : Author

Irène Buvat

Function : Author

Laboratoire d'Imagerie Translationnelle en Oncologie

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Life Sciences [q-bio]

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Submitted on : Friday, November 24, 2023-6:39:19 PM

Last modification on : Tuesday, April 30, 2024-11:54:15 AM

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hal-04306174 , version 1 (24-11-2023)

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HAL Id : hal-04306174 , version 1
DOI : 10.1007/978-3-031-27420-6_13

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Louis Rebaud, Thibault Escobar, Fahad Khalid, Kibrom Berihu Girum, Irène Buvat. Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT. Head and Neck Tumor Segmentation and Outcome Prediction, 13626, Springer Nature Switzerland, pp.121-134, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-27420-6_13⟩. ⟨hal-04306174⟩

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