Published on in Vol 23 , No 7 (2021) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26151, first published .
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Stanislav Nikolov 1 * , MEng ;   Sam Blackwell 1 * , MEng ;   Alexei Zverovitch 2 * , PhD ;   Ruheena Mendes 3 , MB ChB ;   Michelle Livne 2 , PhD ;   Jeffrey De Fauw 1 , BSc ;   Yojan Patel 2 , BA ;   Clemens Meyer 1 , MSc ;   Harry Askham 1 , MSc ;   Bernadino Romera-Paredes 1 , PhD ;   Christopher Kelly 2 , PhD ;   Alan Karthikesalingam 2 , PhD ;   Carlton Chu 1 , PhD ;   Dawn Carnell 3 , MD ;   Cheng Boon 4 , MB ChB ;   Derek D'Souza 3 , MSc ;   Syed Ali Moinuddin 3 , MSc ;   Bethany Garie 1 , BMRSc (RT) ;   Yasmin McQuinlan 1 , BRT ;   Sarah Ireland 1 , BMRSc (RT) ;   Kiarna Hampton 1 , MPH ;   Krystle Fuller 1 , BAppSc (RT) ;   Hugh Montgomery 5 , BSc, MB BS, MD ;   Geraint Rees 5 , PhD ;   Mustafa Suleyman 6 ;   Trevor Back 1 , PhD ;   Cían Owen Hughes 2 * , MBChB, MRCS, MSc ;   Joseph R Ledsam 7 * , MB ChB ;   Olaf Ronneberger 1 * , PhD

1 DeepMind , London , GB

2 Google Health , London , GB

3 University College London Hospitals NHS Foundation Trust , London , GB

4 Clatterbridge Cancer Centre NHS Foundation Trust , Liverpool , GB

5 University College London , London , GB

6 Google , London , GB

7 Google AI , Tokyo , JP

*these authors contributed equally

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