The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
Xiangyu LiGongning LuoKuanquan WangHongyu WangJun LiuXinjie LiangJie JiangZhenghao SongChunyue ZhengHaokai ChiMingwang XuYingte HeXinghua MaJingwen GuoYifan LiuChuanpu LiZeli ChenMd Mahfuzur Rahman SiddiqueeAndriy MyronenkoAntoine P. SannerAnirban MukhopadhyayAhmed E. OthmanXingyu ZhaoWeiping LiuJinhuang ZhangXiangyuan MaQinghui LiuBradley J. MacIntoshWei LiangMoona MazherAbdul QayyumValeriia AbramovaXavier LladóShuo LiPublished in: CoRR (2023)
Keyphrases
- ct images
- lung parenchyma
- medical images
- medical imaging
- computerized tomography
- computed tomography
- computer tomography
- head images
- ct volume
- mri images
- level set
- inter patient
- contrast enhanced
- lung nodules
- segmentation algorithm
- traumatic brain injury
- image slices
- segmentation method
- image segmentation
- ct scans
- x ray
- ground glass opacity
- brain images
- white blood
- brain mri
- multiscale
- contrast enhancement
- anisotropic diffusion
- imaging modalities
- three dimensional
- image analysis
- edge detection
- fully automatic
- ct imaging
- brain tumors
- region growing
- region of interest
- shape prior
- image volumes
- mri brain
- cerebrospinal fluid
- medical image analysis