A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images.
Vitoantonio BevilacquaAntonio BrunettiGiacomo Donato CascaranoFlavio PalmieriAndrea GuerrieroMarco MoschettaPublished in: ICIC (2) (2018)
Keyphrases
- automatic detection
- magnetic resonance images
- deep learning
- brain mri
- medical images
- brain scans
- partial volume
- multiple sclerosis
- brain tumors
- tissue segmentation
- medical imaging
- mr images
- brain structures
- bias field
- magnetic resonance imaging
- white matter
- lymph nodes
- unsupervised learning
- clinical applications
- diffusion tensor
- mri data
- brain tumor segmentation
- machine learning
- brain tissue
- deformable models
- anatomical structures
- medical image analysis
- image segmentation
- accurate segmentation
- multiscale
- mental models
- magnetic resonance
- region growing
- segmentation algorithm
- level set
- high resolution
- weakly supervised
- computed tomography
- segmentation method
- energy function
- object detection
- image analysis