Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.
Jin YeHaoyu WangZiyan HuangZhongying DengYanzhou SuCan TuQian WuYuncheng YangMeng WeiJingqi NiuJunjun HePublished in: CoRR (2022)
Keyphrases
- ct scans
- lesion segmentation
- ct images
- x ray
- computed tomography
- multiple sclerosis
- computer tomography
- magnetic resonance imaging
- magnetic resonance images
- medical images
- medical imaging
- cross sectional
- computer aided diagnosis
- region of interest
- rigid registration
- ct data
- mr images
- treatment planning
- registration accuracy
- human brain
- three dimensional
- information processing
- positron emission tomography
- feature extraction