Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey.
Nicola AltiniBerardino PrencipeGiacomo Donato CascaranoAntonio BrunettiGioacchino BrunettiVito TriggianiLeonarda CarnimeoFrancescomaria MarinoAndrea GuerrieroLaura VillaniArnaldo ScardapaneVitoantonio BevilacquaPublished in: Neurocomputing (2022)
Keyphrases
- abdominal organs
- deep learning
- medical images
- ct scans
- organ segmentation
- computer tomography
- automated segmentation
- ct images
- computed tomography
- magnetic resonance imaging
- medical imaging
- ct data
- computed tomography images
- x ray
- liver segmentation
- anatomical structures
- medical image analysis
- magnetic resonance images
- mr images
- probabilistic atlas
- level set
- medical image segmentation
- computer aided diagnosis
- unsupervised learning
- machine learning
- deformable models
- region of interest
- clinical applications
- imaging modalities
- mental models
- magnetic resonance
- image processing
- medical image processing
- image registration
- clinical studies
- pulmonary nodules
- image analysis
- mri data
- weakly supervised
- energy function
- dce mri
- fracture detection