Prediction of intermediate and high risk factors based on MRI imaging radiomics before neoadjuvant therapy for cervical cancer.
Yimin ZhouRongrong WuGuoping ZuoPenggang BaiPublished in: ISAIMS (2022)
Keyphrases
- mri data
- high risk
- magnetic resonance imaging
- cervical cancer
- dce mri
- medical imaging
- mr images
- computer aided diagnosis
- prostate cancer
- medical images
- magnetic resonance images
- disease progression
- risk factors
- image processing
- intensive care unit
- myocardial infarction
- high resolution
- x ray
- imaging technology
- image analysis
- computer aided
- image acquisition
- machine learning methods
- computer vision
- image guided
- clinical applications
- expert systems
- neural network
- multislice
- abnormal behavior
- image data
- decision support system
- shape analysis