Toward Automated Detection of Silent Cerebral Infarcts in Children and Young Adults With Sickle Cell Anemia.
Yasheng ChenYan WangChia Ling PhuahMelanie E FieldsKristin P GuilliamsSlim FellahMartin N ReisMichael M BinkleyHongyu AnJin-Moo LeeRobert C McKinstryLori C JordanMichael Rutledge DeBaunAndria L FordPublished in: Stroke (2023)
UNet, trained using a large pediatric SCA magnetic resonance imaging data set, sensitively detected small SCI in children and young adults with SCA. While additional training is needed, UNet may be integrated into the clinical workflow as a screening tool, aiding in SCI diagnosis.
Keyphrases
- magnetic resonance imaging
- spinal cord injury
- young adults
- electronic health record
- middle aged
- machine learning
- chronic kidney disease
- deep learning
- subarachnoid hemorrhage
- high throughput
- big data
- loop mediated isothermal amplification
- real time pcr
- blood brain barrier
- body composition
- childhood cancer
- sensitive detection