Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer.
Alejandro RodríguezAlberto AlegreVíctor LagoJosé Miguel Carot-SierraAmadeo Ten-EsteveGuillermina MontoliuSantiago DomingoÁngel Alberich-BayarriLuis Martí-BonmatíPublished in: Journal of magnetic resonance imaging : JMRI (2021)
The model combining the texture features from T2W and ADC map images with the semi-quantitative parameters from DW and DCE series allow the preoperative estimation of myometrial invasion. EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 3.
Keyphrases
- endometrial cancer
- contrast enhanced
- magnetic resonance imaging
- machine learning
- cell migration
- diffusion weighted
- diffusion weighted imaging
- deep learning
- computed tomography
- magnetic resonance
- artificial intelligence
- convolutional neural network
- optical coherence tomography
- big data
- high density
- mass spectrometry