A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging.
Reza KarimzadehEmad FatemizadehHossein ArabiPublished in: CoRR (2022)
Keyphrases
- loss function
- medical imaging
- organ segmentation
- liver segmentation
- medical image processing
- machine learning
- computer aided diagnosis
- level set
- ct images
- medical images
- computed tomography
- image segmentation
- medical image segmentation
- x ray
- image registration
- ct scans
- medical image analysis
- pairwise
- shape analysis
- image analysis
- computer vision
- anatomical structures
- image processing
- logistic regression
- ct data
- imaging modalities
- support vector
- magnetic resonance imaging
- remote sensing
- magnetic resonance images
- shape representation
- reproducing kernel hilbert space
- data mining
- active contours
- level set method
- image guided
- feature selection
- fully automatic
- pattern recognition
- energy functional
- decision trees
- three dimensional
- medical diagnosis