Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy.
Lina MekkiSahaja AcharyaMatthew LadraJunghoon LeePublished in: Journal of applied clinical medical physics (2024)
The pediatric brain segmentation tool showed promising performance on five OARs linked to neurocognitive functions and can easily be extended for additional structures. The proposed integration to the clinic enables easy access to the tool from clinical platforms and minimizes disruption to existing workflow while maximizing its benefits.
Keyphrases
- deep learning
- convolutional neural network
- white matter
- resting state
- early stage
- artificial intelligence
- electronic health record
- machine learning
- radiation therapy
- squamous cell carcinoma
- cerebral ischemia
- multiple sclerosis
- bipolar disorder
- locally advanced
- blood brain barrier
- subarachnoid hemorrhage
- brain injury
- rectal cancer