Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge.
Gowtham Krishnan MurugesanDiana McCrumbEric BrunnerJithendra KumarRahul SoniVasily GrigorashStephen MooreJeff VanOssPublished in: CoRR (2023)
Keyphrases
- ct scans
- multi label
- lesion segmentation
- computed tomography
- ct images
- multilabel classification
- image reconstruction
- x ray
- text categorization
- magnetic resonance imaging
- graph cuts
- image classification
- medical images
- region of interest
- computer aided diagnosis
- multiple sclerosis
- class labels
- text classification
- magnetic resonance images
- instance based learning
- medical imaging
- logistic regression
- high quality
- magnetic resonance
- three dimensional
- clinical trials
- case based reasoning
- training data