Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.
Zahra PapiSina FathiFatemeh DalvandMahsa ValiAli YousefiMohammad Hemmatyar TabatabaeiAlireza AmouheidariIraj AbediPublished in: Neuroinformatics (2023)
Keyphrases
- magnetic resonance imaging
- deep learning
- medical images
- brain tumors
- magnetic resonance images
- mri images
- medical imaging
- mri data
- unsupervised learning
- positron emission tomography
- mr images
- machine learning
- lesion segmentation
- feature extraction
- image segmentation
- carotid artery
- fully automatic
- text classification
- computed tomography
- segmentation algorithm
- multiscale
- brain images
- feature selection
- pattern recognition
- medical image analysis
- feature space
- image analysis
- image registration
- level set
- imaging modalities
- image guided
- training set
- ct images
- object recognition
- skin lesion
- radiation therapy
- model selection