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Automatic grading of cervical biopsies by combining full and self-supervision
View ORCID ProfileMélanie Lubrano, Tristan Lazard, Guillaume Balezo, Yaëlle Bellahsen-Harrar, Cécile Badoual, Sylvain Berlemont, Thomas Walter
doi: https://doi.org/10.1101/2022.01.14.476330
Mélanie Lubrano
1KEEN EYE, Paris, 75012, France
2Centre for Computational Biology (CBIO), Mines Paris, PSL University, 75006 Paris, France
Tristan Lazard
2Centre for Computational Biology (CBIO), Mines Paris, PSL University, 75006 Paris, France
3Institut Curie, PSL University, 75005 Paris, France
Guillaume Balezo
1KEEN EYE, Paris, 75012, France
Yaëlle Bellahsen-Harrar
5Department of Pathology, Hôpital Européen Georges-Pompidou, APHP, France
Cécile Badoual
5Department of Pathology, Hôpital Européen Georges-Pompidou, APHP, France
Sylvain Berlemont
1KEEN EYE, Paris, 75012, France
Thomas Walter
2Centre for Computational Biology (CBIO), Mines Paris, PSL University, 75006 Paris, France
3Institut Curie, PSL University, 75005 Paris, France
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Posted August 29, 2022.
Automatic grading of cervical biopsies by combining full and self-supervision
Mélanie Lubrano, Tristan Lazard, Guillaume Balezo, Yaëlle Bellahsen-Harrar, Cécile Badoual, Sylvain Berlemont, Thomas Walter
bioRxiv 2022.01.14.476330; doi: https://doi.org/10.1101/2022.01.14.476330
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