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
- randomized controlled trial
- healthcare
- systematic review
- radiation therapy
- white matter
- diffuse large b cell lymphoma
- magnetic resonance
- high resolution
- resting state
- locally advanced
- squamous cell carcinoma
- optical coherence tomography
- functional connectivity
- multiple sclerosis
- radiation induced
- network analysis
- brain injury