Interactive segmentation in MRI for orthopedic surgery planning: bone tissue.
Firat OzdemirNeerav KaraniPhilipp FürnstahlOrcun GokselPublished in: International journal of computer assisted radiology and surgery (2017)
We present a segmentation framework that allows iterative corrections leading to substantial speed gains in bone annotation in MRI. This will allow us to pursue semi-automatic segmentations of other musculoskeletal anatomy first in a user-in-the-loop manner, where later less user interactions or perhaps only few for quality control will be necessary as our annotation suggestions improve.
Keyphrases
- quality control
- deep learning
- contrast enhanced
- convolutional neural network
- bone mineral density
- magnetic resonance imaging
- minimally invasive
- diffusion weighted imaging
- soft tissue
- bone loss
- coronary artery bypass
- rna seq
- bone regeneration
- machine learning
- postmenopausal women
- transcription factor
- computed tomography
- magnetic resonance
- body composition
- image quality
- surgical site infection
- coronary artery disease
- single cell