Weakly Supervised Learning of Recurrent Residual ConvNets for Pancreas Segmentation in CT Scans.
Huiru ZengXiaohua HuLeiting ChenChuan ZhouYang WenPublished in: BIBM (2019)
Keyphrases
- ct scans
- feed forward
- weakly supervised learning
- ct images
- computed tomography
- fracture detection
- organ segmentation
- computer aided detection
- x ray
- medical images
- medical imaging
- weakly supervised
- computer aided diagnosis
- object detection
- image segmentation
- back propagation
- level set
- segmentation algorithm
- region of interest
- multiple instance learning
- segmentation method
- multiscale
- artificial neural networks
- neural network
- shape prior
- multi view learning
- image processing
- computed tomography images
- computer aided
- image analysis
- object class
- image regions
- pattern recognition
- computer vision