Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hippolyte Heuberger"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 1, Pp 243-262 (2021)
Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert’s level, interpretability (highlighting how and what a trained model learned and why it makes a specifi
Externí odkaz:
https://doaj.org/article/34908cc7e93b4ebe90ddcc0559c18805
Publikováno v:
Machine Learning and Knowledge Extraction
Machine Learning and Knowledge Extraction, MDPI, 2021, 3 (1), pp.243-262. ⟨10.3390/make3010012⟩
Machine Learning and Knowledge Extraction, Vol 3, Iss 12, Pp 243-262 (2021)
Volume 3
Issue 1
Pages 12-262
Machine Learning and Knowledge Extraction, MDPI, 2021, 3 (1), pp.243-262. ⟨10.3390/make3010012⟩
Machine Learning and Knowledge Extraction, Vol 3, Iss 12, Pp 243-262 (2021)
Volume 3
Issue 1
Pages 12-262
International audience; Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert's level, interpretability (highlighting how and what a trained model learned and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58f52712968014a68cd34517c6758163
https://hal.telecom-paris.fr/hal-03324456
https://hal.telecom-paris.fr/hal-03324456
Publikováno v:
Workshop iMIMIC at MICCAI
Workshop iMIMIC at MICCAI, 2020, Lima, Peru. pp.43-53
Interpretable and Annotation-Efficient Learning for Medical Image Computing ISBN: 9783030611651
iMIMIC/MIL3iD/LABELS@MICCAI
Workshop iMIMIC at MICCAI, 2020, Lima, Peru. pp.43-53
Interpretable and Annotation-Efficient Learning for Medical Image Computing ISBN: 9783030611651
iMIMIC/MIL3iD/LABELS@MICCAI
Deep learning methods are widely used for medical applications to assist medical doctors in their daily routines. While performances reach expert's level, interpretability (highlight how and what a trained model learned and why it makes a specific de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b786b60012e4f6e830b1369e6f0183
https://hal.archives-ouvertes.fr/hal-02916164
https://hal.archives-ouvertes.fr/hal-02916164