"Deep learning to achieve clinically applicable segmentation of head and ..."

Stanislav Nikolov et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-10-14

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1809-04430
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1809-04430
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:
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. CoRR abs/1809.04430 (2018)

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