A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images.
Shadab AhamedLuke PolsonArman RahmimPublished in: HECKTOR@MICCAI (2022)
Keyphrases
- lymph nodes
- multi class
- automated segmentation
- ct scans
- ct images
- pet ct
- pet images
- computed tomography
- ct data
- manual segmentation
- automatic segmentation
- clinical applications
- medical images
- x ray
- treatment planning
- support vector machine
- medical imaging
- feature selection
- computer aided diagnosis
- pairwise
- region of interest
- object detection
- imaging modalities
- image reconstruction
- intraoperative
- magnetic resonance
- segmentation algorithm
- image processing