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Deep Learning for interpretable end-to-end survival prediction in gastrointestinal cancer histopathology
Deep Learning for interpretable end-to-end survival prediction in gastrointestinal cancer histopathology
2021
Narmin Ghaffari Laleh
Amelie Echle
Hannah Sophie Muti
Katherine Jane Hewitt
Volkmar Schulz
Jakob Nikolas Kather
Keywords:
Radiology
Deep learning
Gastrointestinal cancer
Artificial intelligence
Histopathology
Medicine
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