Camille Franchet

According to our database, Camille Franchet authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Evolved and Transparent Pipelines for Biomedical Image Classification.

Camilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Robin Schwob, Camille Franchet, Hervé Luga, Dennis Wilson, Sylvain Cussat-Blanc

Proceedings of the Genetic Programming - 28th European Conference, 2025

2024

Réduction du biais lié à la coloration des coupes histologiques de cancer du sein pour le développement d'outils de classification par intelligence artificielle. (Reduction of color-induced bias for artificial intelligence-based classification of breast cancer histological images).

Camille Franchet

PhD thesis, 2024

Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images.

Camille Franchet, Robin Schwob, Guillaume Bataillon, Charlotte Syrykh, Sarah Péricart, François-Xavier Frenois, Frédérique Penault-Llorca, Magali Lacroix-Triki, Laurent Arnould, Jérôme Lemonnier, Jean-Marc Alliot, Thomas Filleron, Pierre Brousset

Comput. Biol. Medicine, 2024

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