2 papers
cs.CV2020
Continual Class Incremental Learning for CT Thoracic Segmentation
Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher +3
Deep learning organ segmentation approaches require large amounts of annotated training data, which is limited in supply due to reasons of confidentiality and the time required for…
cs.CV2018
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data
Alison Q O'Neil, Antanas Kascenas, Joseph Henry +8
We present an efficient neural network method for locating anatomical landmarks in 3D medical CT scans, using atlas location autocontext in order to learn long-range spatial contex…