SUTOUR, M. Mattéo (2023) Graph Convolutional Network (GCN) for medical image segmentation PFE - Project Graduation, ENSTA.
Full text not available from this repository.
Abstract
I would like to express my sincere gratitude to my internship supervisor, Artem Lobantsev,for his wise advice, precious guidance, and exceptional expertise. Under his supervision, I have acquired a wealth of knowledge and skills that have been instrumental in my professional development. I would also like to extend my appreciation to the entire Medisys team. The welcoming and collaborative work environment at Medisys has been a remarkable part of my internship experience, and the frequent social gatherings have added to the camaraderie within the team. Additionally, I want to acknowledge my fellow interns, Clara, Côme, Jeanne, and Quentin. Our teamwork, mutual support, and shared moments of laughter during break times made this internship all the more enjoyable and memorable. Finally, I want to thank Gianni Franchi for his role as my academic advisor at ENSTA Paris and his guidance and mentorship throughout my studies. I am grateful for the support and encouragement I have received from all of these individuals and organizations during my internship and academic journey.
Item Type: | Thesis (PFE - Project Graduation) |
---|---|
Subjects: | Information and Communication Sciences and Technologies Mathematics and Applications Life Sciences and Engineering |
ID Code: | 9876 |
Deposited By: | matteo Sutour |
Deposited On: | 14 nov. 2023 15:03 |
Dernière modification: | 14 nov. 2023 15:03 |
Repository Staff Only: item control page