SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only.
Mario ZusagSujal R. DesaiMarcello Di PaoloThomas SempleAnand ShahElsa D. AngeliniPublished in: ISBI (2019)
Keyphrases
- ct scans
- convolutional neural networks
- ct images
- computed tomography
- x ray
- ct data
- convolutional network
- rigid registration
- region of interest
- automated segmentation
- computer aided diagnosis
- computer tomography
- computer aided detection
- pulmonary nodules
- registration process
- medical images
- training data
- low dose
- ground truth labels
- registration accuracy
- medical imaging
- pairwise
- abdominal organs
- treatment planning
- computer vision
- image reconstruction
- organ segmentation
- three dimensional