Work

VR-based annotation assistance system for volumetric medical image segmentation

Year: 2025

Type: article

Abstract: This paper is substantially derived from a master's thesis by Mika Anttonen, supervised by Dongwann Kang, at Seoul National University of Science and Technology.It has been augmented to include an exhaustive examination of techniques for volumetric model visualization and Hounsfield unit-based Region of Interest selection, complemented by implementation results using the HTC VIVE Cosmos, integrated with SteamVR and the VIVE Console.This research was supported by Culture, Sports and Tourism R&D Program through the Korea Creative Content Agency grant funded by the Ministry of Culture, Sports and Tourism in 2022

Source: KSII Transactions on Internet and Information Systems

DOI: 10.3837/tiis.2025.04.008

Authors: Mika Anttonen, Dongwann Kang

Institutions: Finnish Defence Forces, Seoul National University of Science and Technology

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Ministry of Culture, Sports and Tourism, Korea Creative Content Agency

Award: G8510479484