Pierre Brousset

According to our database, Pierre Brousset authored at least 8 papers between 2017 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

2020

Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning.

Charlotte Syrykh, Arnaud Abreu, Nadia Amara, Aurore Siegfried, Véronique Maisongrosse, François X. Frenois, Laurent Martin, Cédric Rossi, Camille Laurent, Pierre Brousset

npj Digit. Medicine, 2020

MIAmS: microsatellite instability detection on NGS amplicons data.

Frédéric Escudié, Charles Van Goethem, David Grand, Julie Vendrell, Anna Vigier, Pierre Brousset, Solène M. Evrard, Jérôme Solassol, Janick Selves

Bioinform., 2020

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

2018

Model-based graph segmentation in 2-D fluorescence microsecopy images.

Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation.

Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017