Quantitative results demonstrate the effectiveness of the proposed method in segmenting the PCNSL. To our knowledge, this is the first study to introduce attention modules into deep learning for segmenting PCNSL based on brain magnetic resonance imaging (MRI), promoting the localization of PCNSL before radiotherapy.
Keyphrases
- magnetic resonance imaging
- deep learning
- contrast enhanced
- working memory
- diffusion weighted imaging
- convolutional neural network
- computed tomography
- healthcare
- randomized controlled trial
- early stage
- systematic review
- radiation therapy
- machine learning
- artificial intelligence
- resting state
- high resolution
- radiation induced
- locally advanced
- cerebrospinal fluid
- mass spectrometry
- cerebral ischemia
- network analysis
- brain injury