Project Details
Metody hlubokého učení pro zpracování 3D obrazových dat
Project Period: 1. 1. 2019 – 31. 12. 2019
Project Type: contract
Partner: TESCAN 3DIM, s.r.o.
Deep learning, convolutional neural networks, CNN, 3D image analysis
This project aims at analysis of current methods and trends in 3D image analysis and recognition by using state-of-the-art deep learning methods. Analyse suitability of the current methods for the needs and tasks defined by the company, experimental implementation and verification of the promising methods, and consultations of existing solutions of the company and technical assistance in their innovation.
Kodym Oldřich, Ing., Ph.D.
Španěl Michal, doc. Ing., Ph.D. (DCGM)
2019
- KODYM, O. Souhrnná výzkumná zpráva k projektu TESCAN 3DIM -Metody hlubokého učení pro zpracování 3D obrazových dat. Brno: TESCAN 3DIM, s.r.o., 2019.
s. 0-0. Detail - KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. Computational Methods and Clinical Applications in Musculoskeletal Imaging. Shenzhen: 2019.
p. 0-0. Detail