Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology
Author(s) -
Freja Fagerblom,
Karin Stacke,
Jesper Molin
Publication year - 2021
Publication title -
diva (linkoping university)
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.1117/12.2579796
Subject(s) - computer science , workflow , robustness (evolution) , artificial intelligence , software deployment , labeled data , digital pathology , deep learning , machine learning , artificial neural network , domain (mathematical analysis) , task (project management) , annotation , data mining , pattern recognition (psychology) , computer vision , database , mathematical analysis , biochemistry , chemistry , mathematics , management , economics , gene , operating system
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