Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Carlton Chu

Carlton Chu
Alert button

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy


Sep 12, 2018
Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger

Add code
Alert button

Figure 1 for Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Figure 2 for Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Figure 3 for Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Figure 4 for Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email