"Deep Learning for interpretable end-to-end survival (E-ESurv) prediction ..."

Narmin Ghaffari Laleh et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-04-27

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  dblp key:
  - conf/compay/LalehEMHSK21
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  - https://dblp.org/rec/conf/compay/LalehEMHSK21
Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather:
Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology. COMPAY@MICCAI 2021: 81-93

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