D. Duque-Arias, S. Velasco-Forero, J.E. Deschaud, F. Goulette, B. Marcotegui (2019): A graph-based color lines model for image analysis
. International Conference on Image Analysis and Processing, Trento (Italy).
Y. Yan, P.H. Conze, E. Decencière, M. Lamard, G. Quellec, B. Cochener, G. Coatrieux (2019): Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms
. IEEE International Engineering in Medicine and Biology Conference, Berlin (Germany).
Y. Xiao, E. Decencière, S. Velasco-Forero, H. Burdin, T. Bornschlögl, F. Bernerd, E. Warrick, T. Baldeweck (2019): A NEW COLOR AUGMENTATION METHOD FOR DEEP LEARNING SEGMENTATION OF HISTOLOGICAL IMAGES
. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venise (France).
Since its foundation in 1967, the CMM has contributed to the growth and dissemination of the theoretical and algorithmic corpus of mathematical morphology, making use of very broad fields of application, thereby providing a rich experimental terrain for the development of new concepts and tools. Its activities centre around collaboration with industry, research and teaching.
Presentation of the CMM