An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.
Ethan DackLorenzo BrigatoMatthew McMurrayMatthias FontanellazThomas FrauenfelderHanno HoppeAristomenis ExadaktylosThomas GeiserManuela Funke-ChambourAndreas ChristeLukas EbnerStavroula G. MougiakakouPublished in: ICCV (Workshops) (2023)
Keyphrases
- multi label classification
- ct scans
- multi label
- x ray
- ct images
- computed tomography
- semi supervised learning
- computer aided diagnosis
- text categorization
- image annotation
- region of interest
- classification algorithm
- binary classification
- medical imaging
- semi supervised
- medical images
- multi class
- binary classifiers
- meta level
- class labels
- image reconstruction
- image classification
- text classification
- computer vision
- graph cuts
- cost sensitive
- supervised learning
- support vector machine
- decision trees