Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation-Reference-Cited by-同舟云学术

Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation

Published:2024-02-02 Issue:3 Volume:129 Page:515-523
ISSN:1826-6983
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Dei Damiano,Lambri Nicola^ORCID,Crespi Leonardo,Brioso Ricardo Coimbra,Loiacono Daniele,Clerici Elena,Bellu Luisa,De Philippis Chiara,Navarria Pierina,Bramanti Stefania,Carlo-Stella Carmelo,Rusconi Roberto,Reggiori Giacomo,Tomatis Stefano,Scorsetti Marta,Mancosu Pietro

Funder

Ministero della Salute

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11547-024-01760-8.pdf

Reference42 articles.

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2. Wong JYC, Filippi AR, Scorsetti M, Hui S, Muren LP, Mancosu P (2020) Total marrow and total lymphoid irradiation in bone marrow transplantation for acute leukaemia. Lancet Oncol 21:e477–e487. https://doi.org/10.1016/S1470-2045(20)30342-9

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4. Yeginer M, Roeske JC, Radosevich JA, Aydogan B (2011) Linear accelerator-based intensity-modulated total marrow irradiation technique for treatment of hematologic malignancies: a dosimetric feasibility study. Int J Radiat Oncol Biol Phys 79:1256–1265. https://doi.org/10.1016/j.ijrobp.2010.06.029

5. Fogliata A, Cozzi L, Clivio A, Ibatici A, Mancosu P, Navarria P et al (2011) Preclinical assessment of volumetric modulated arc therapy for total marrow irradiation. Int J Radiat Oncol Biol Phys 80:628–636. https://doi.org/10.1016/j.ijrobp.2010.11.028