Camille Franchet

According to our database, Camille Franchet authored at least 4 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training - The Case of Cancer Detection.

Ismat Ara Reshma, Camille Franchet, Margot Gaspard, Radu Tudor Ionescu, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Pierre Brousset

J. Digit. Imaging, 2022

A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection - Extended Abstract.

Ismat Ara Reshma, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Camille Franchet, Margot Gaspard, Pierre Brousset, Radu Tudor Ionescu

Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022

2019

Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images.

Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Deep Analysis of CNN Settings for New Cancer Whole-slide Histological Images Segmentation: The Case of Small Training Sets.

Sonia Mejbri, Camille Franchet, Ismat Ara Reshma, Josiane Mothe, Pierre Brousset, Emmanuel Faure

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019