2 papers
eess.IV2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider, Antal Horváth, Georg Rauter +3
Segmentation of distinct bones plays a crucial role in diagnosis, planning, navigation, and the assessment of bone metastasis. It supplies semantic knowledge to visualisation tools…
eess.SP2020
Machine learning-based method for linearization and error compensation of an absolute rotary encoder
Lorenzo Iafolla, Massimiliano Filipozzi, Sara Freund +3
The main objective of this work is to develop a miniaturized, high accuracy, single-turn absolute, rotary encoder called ASTRAS360. Its measurement principle is based on capturing…