Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
Pulkit KhandelwalMichael Tran DuongShokufeh SadaghianiSydney LimAmanda DenningEunice ChungSadhana RavikumarSanaz ArezoumandanClaire PetersonMadigan BedardNoah CappRanjit IttyerahElyse MigdalGrace ChoiEmily KoppBridget LojaEusha HasanJiacheng LiKarthik PrabhakaranGabor MizseiMarianna GabrielyanTheresa SchuckWinifred TrotmanJohn L. RobinsonDaniel T. OhmEdward B. LeeJohn Q. TrojanowskiCorey McMillanMurray GrossmanDavid J. IrwinJohn A. DetreM. Dylan TisdallSandhitsu R. DasLaura E. M. WisseDavid A. WolkPaul A. YushkevichPublished in: CoRR (2023)
Keyphrases
- quantitative analysis
- deep learning
- high resolution
- brain structures
- qualitative analysis
- neurodegenerative diseases
- quantitative measurements
- magnetic resonance images
- qualitative and quantitative analysis
- brain mri
- low resolution
- medical images
- super resolution
- qualitative evaluation
- image processing
- unsupervised learning
- magnetic resonance imaging
- medical imaging
- segmentation method
- image segmentation
- machine learning
- energy function
- level set
- object recognition