Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy

Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy

Abstract This is a multi-institutional study to evaluate a head-and-neck CT auto-segmentation software across seven institutions globally. 11 lymph node levels and 7 organs-at-risk contours were evaluated in a two-phase study design. Time savings were measured in both phases, and the inter-observer...

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Main Authors: Eric Pei Ping Pang, Hong Qi Tan, Fuqiang Wang, Jarkko Niemelä, Gregory Bolard, Susan Ramadan, Timo Kiljunen, Marta Capala, Steven Petit, Jan Seppälä, Kristiina Vuolukka, Ingrid Kiitam, Danil Zolotuhhin, Eduard Gershkevitsh, Kaisa Lehtiö, Juha Nikkinen, Jani Keyriläinen, Miia Mokka, Melvin Lee Kiang Chua
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01624-z
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https://doi.org/10.1038/s41746-025-01624-z

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