Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
Harrison C. GottlichAdriana V. GregoryVidit SharmaAbhinav KhannaAmr U. MoustafaChristine M. LohseTheodora A. PotretzkePanagiotis KorfiatisAaron M. PotretzkeAleksandar DenicAndrew D. RuleNaoki TakahashiBradley J. EricksonBradley C. LeibovichTimothy L. KlinePublished in: J. Digit. Imaging (2023)
Keyphrases
- medical images
- clinical applications
- automated segmentation
- neural network model
- medical imaging
- magnetic resonance
- computed tomography
- mr images
- anatomical structures
- treatment planning
- medical data
- ct images
- deformable models
- image intensity
- computer tomography
- imaging modalities
- manual segmentation
- medical diagnosis
- medical image analysis
- soft tissue
- neural network
- ct scans
- computer aided diagnosis
- magnetic resonance imaging
- brain images
- magnetic resonance images
- x ray images
- artificial neural networks
- contrast enhanced
- brain tumors
- image analysis
- mri images
- image processing
- mri data
- medical image registration
- region of interest
- markov random field
- ct data