Grading of gliomas using transfer learning on MRI images.
Oktay Fasihi ShirehjiniFarshid Babapour MofradMohammadreza ShahmohammadiFatemeh KaramiPublished in: Magma (New York, N.Y.) (2022)
It was demonstrated that developing Computer-aided Diagnosis (CAD) systems using pre-trained CNNs and classification algorithms is a functional approach to automatically specify the grade of glioma brain tumours in MRI images. Using these models is an excellent alternative to invasive methods and helps doctors diagnose more accurately before treatment.
Keyphrases
- deep learning
- machine learning
- contrast enhanced
- convolutional neural network
- magnetic resonance imaging
- diffusion weighted imaging
- optical coherence tomography
- high grade
- coronary artery disease
- resting state
- white matter
- magnetic resonance
- computed tomography
- functional connectivity
- cerebral ischemia
- body composition
- blood brain barrier
- smoking cessation