Project Details

TESCAN 3DIM - 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.

English title
TESCAN 3DIM - Deep learning methods for 3D image processing
Type
contract
Keywords

Deep learning, convolutional neural networks, CNN, 3D image analysis

Abstract

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.

Team members
Hajduk Petr, Ing. (Děkanát FIT VUT) , research leader
Kodym Oldřich, Ing., Ph.D. (UPGM FIT VUT) , team leader
Španěl Michal, doc. Ing., Ph.D. (UPGM FIT VUT) , team leader
Publications

2019

  • KODYM Oldřich, ŠPANĚL Michal and HEROUT Adam. Segmentation of Defective Skulls from CT Data for Tissue Modelling. Computational Methods and Clinical Applications in Musculoskeletal Imaging. Shenzhen, 2019. Detail
  • KODYM Oldřich. Souhrnná výzkumná zpráva k projektu TESCAN 3DIM -Metody hlubokého učení pro zpracování 3D obrazových dat. Brno: TESCAN 3DIM, s.r.o., 2019. Detail
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