Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation.
Jiao QuWenjing ZhangXin ShuYing WangLituan WangMengyuan XuLi YaoNa HuBiqiu TangLei ZhangSu LuiPublished in: European radiology (2023)
• The GHR-CNN could accurately detect and segment BM on contrast-enhanced 3D-T1W images. • The GHR-CNN improved the BM detection rate of radiologists, including the detection of small lesions. • The GHR-CNN enabled automated segmentation of BM in a very short time.
Keyphrases
- convolutional neural network
- deep learning
- contrast enhanced
- neural network
- loop mediated isothermal amplification
- high resolution
- artificial intelligence
- magnetic resonance imaging
- real time pcr
- magnetic resonance
- machine learning
- multiple sclerosis
- brain injury
- resting state
- high throughput
- liquid chromatography
- high speed
- quantum dots
- single cell
- functional connectivity
- subarachnoid hemorrhage