Work

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models

Year: 2017

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2017.2667578

Authors: Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec

Institutions: University of Ljubljana, Stanford Medicine, Stanford University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Google, Javna Agencija za Raziskovalno Dejavnost RS, National Institutes of Health, National Cancer Institute

Awards: Biomedical Image and Signal Analysis, Kompleksni hiperspektralni sistem za avtomatsko analiziranje in vodenje procesov oblaganja farmacevtskih pelet (Slovene), Computer-assisted spine surgery planning based on quantitative image analysis, DASSIM-RT and Compressed Sensing-Based Inverse Planning, G7153130018

OpenAlex ID: W2588097777

FWCI: 2.157

Cites: 39

Cited by: 51

Related to: 10