Work

Segmentation of parotid glands from registered CT and MR images

Year: 2018

Type: article

Source: Physica Medica

DOI: 10.1016/j.ejmp.2018.06.012

Authors: Domen Močnik, Bulat Ibragimov, Lei Xing, Primož Strojan, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec

Institutions: University of Ljubljana, Stanford Medicine, Stanford University, Institute of Oncology Ljubljana

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: green

Funders: Javna Agencija za Raziskovalno Dejavnost RS, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Biomedical Image and Signal Analysis, Avtomatska analiza angiografskih slik za zgodnjo diagnostiko, spremljanje in zdravljenje intrakranialnih anevrizem (Slovene), Computer-assisted spine surgery planning based on quantitative image analysis, Oral health screening by hyperspectral imaging, Computational Tools for Next Generation Volumetric Cone Beam Computed Tomography, QUANTITATIVE ANALYSIS OF BRAIN WHITE MATTER LESIONS, DASSIM-RT and Compressed Sensing-Based Inverse Planning, G7153130018

OpenAlex ID: W2809628938

FWCI: 3.126

Cites: 51

Cited by: 40

Related to: 10