An accurate, straightforward computer vision algorithm for optimal tumor-feeding visualization in cone-beam computed tomography hepatic arteriography: A preliminary study

Hee-Suk Chae

An accurate, straightforward computer vision algorithm for optimal tumor-feeding visualization in cone-beam computed tomography hepatic arteriography: A preliminary study

Hee-Suk Chae

Department of Medicine

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	Clinical Radiology
State	Published - 2026.02.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@article{fa14ef0d97004cf19586b79e649a4c5b,

title = "An accurate, straightforward computer vision algorithm for optimal tumor-feeding visualization in cone-beam computed tomography hepatic arteriography: A preliminary study",

author = "Hee-Suk Chae",

year = "2026",

month = feb,

day = "1",

language = "Korean",

journal = "Clinical Radiology",

issn = "0009-9260",

}