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: CoRR (2023)
Keyphrases
- multi label classification
- ct scans
- multi label
- ct images
- x ray
- computed tomography
- image annotation
- computer aided diagnosis
- semi supervised learning
- region of interest
- text categorization
- binary classification
- classification algorithm
- medical images
- semi supervised
- image classification
- multi class
- meta level
- binary classifiers
- unsupervised learning
- image reconstruction
- class labels
- multi modal
- text classification
- knn
- neural network
- fracture detection
- nearest neighbor
- pattern recognition