Back to Search Start Over

Leveraging Global Diagnosis For Tumor Localization In Dynamic Cell Imaging Of Breast Cancer Tissue Towards Fast Biopsying

Authors :
Jean-Christophe Olivo-Marin
Vannary Meas-Yedid
M.-C. Mathieu
E. Benoit a la Guillaume
Diana Mandache
Analyse d'images biologiques - Biological Image Analysis (BIA)
Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
LLTech SAS Paris
Cancer Campus
The authors acknowledge financial support of the ANRT (grant CIFRE no 2018/0139) and the Inception program (Investissement d’Avenir grant ANR-16-CONV-0005) for providing the computing resources, as well as the help of Quang tru Huynh on using them.
ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs(2016)
Source :
ISBI, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. pp.320-323, ⟨10.1109/ISBI48211.2021.9434110⟩
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

International audience; We propose a fast aid-to-diagnosis biopsy assessment method convenient at the point-of-care, on account of both the imaging technique and the algorithm applied. The procedure implies a pipeline of classification and localization of tumors in breast cancer biopsies imaged with a recently developed non-invasive imaging modality: Dynamic Cell Imaging (aka Dynamic Full Field Optical Coherence Tomography). This allows for fast and interpretable extemporaneous cancer detection with high confidence; we obtained a performance of 96% classification accuracy together with a coarse localization of tumors, even so for single isolated invasive cells.

Details

Database :
OpenAIRE
Journal :
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Accession number :
edsair.doi.dedup.....f382799d0b60fadf2fc756e6bb58f9fe