Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning-Reference-Cited by-同舟云学术

Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning

Published:2023-06-01 Issue:03 Volume:10 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Scholler Jules¹,Mandache Diana²,Mathieu Marie Christine³,Lakhdar Aïcha Ben⁴,Darche Marie⁵,Monfort Tual¹,Boccara Claude¹,Olivo-Marin Jean-Christophe⁶,Grieve Kate⁵,Meas-Yedid Vannary⁶,Guillaume Emilie Benoit a la²,Thouvenin Olivier¹

Affiliation:

1. PSL University, Institut Langevin, ESPCI Paris, CNRS, Paris, France

2. AQUYRE Bioscences-LLTech SAS, Paris, France

3. Gustave Roussy Cancer Campus, Department of Medical Biology and Pathology, Villejuif, France

4. SCM Bichat, Paris, France

5. Sorbonne Université, Institut de la Vision, INSERM, CNRS, Paris, France

6. Institut Pasteur, Bioimage Analysis Unit, Paris, France

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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