Detection of COVID-19 patient based on attention segmental recurrent neural network (ASRNN) Archimedes optimization algorithm using ultra-low-dose CT images.
G. KannanKarunambiga KP. J. Sathish KumarFrancis H. ShajinPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- optimization algorithm
- ct images
- low dose
- computed tomography
- recurrent neural networks
- ct scans
- computer tomography
- lung nodules
- treatment planning
- fracture detection
- medical images
- multi objective
- radiation therapy
- medical imaging
- x ray
- feed forward
- image reconstruction
- ct imaging
- neural network
- chronic obstructive pulmonary disease
- ct data
- artificial neural networks
- dual energy
- imaging modalities
- medical data
- three dimensional
- region of interest
- automated segmentation
- lymph nodes
- medical diagnosis
- mr images
- machine learning
- respiratory motion
- magnetic resonance imaging
- pulmonary nodules
- x ray images
- clinical applications