Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.
Ahmad MaarefFrancisco Perdigón RomeroEmmanuel MontagnonMilena CernyBich NguyenFranck Vandenbroucke-MenuGeneviève SoucySimon TurcotteAn TangSamuel KadouryPublished in: J. Digit. Imaging (2020)
Keyphrases
- breast cancer
- neural network
- ct images
- ct scans
- lymph nodes
- ct data
- computed tomography
- computer aided diagnosis
- medical images
- computer tomography
- white blood
- artificial neural networks
- patient specific
- back propagation
- automatic segmentation
- surgery planning
- early detection
- logistic regression
- medical imaging
- genetic algorithm
- x ray
- treatment planning
- deformable registration
- image slices
- liver segmentation
- three dimensional
- contrast enhanced
- neural network model
- self organizing maps
- magnetic resonance imaging
- brain tumors
- statistical shape model
- pulmonary nodules
- anatomical structures
- automatic detection
- head images
- magnetic resonance images
- organ segmentation
- abdominal organs
- radio frequency ablation
- intraoperative