Segmentation and Approximation of Blood Volume in Intracranial Hemorrhage Patients Based on Computed Tomography Scan Images Using Deep Learning Method.
Kezia IreneM. Anwar Ma'sumReyhan Eddy YunusWisnu JatmikoPublished in: IWBIS (2020)
Keyphrases
- segmentation method
- segmentation algorithm
- test images
- computed tomography
- fully automatic
- ct images
- medical images
- deep learning
- lymph nodes
- region of interest
- energy function
- image features
- motion artifacts
- image analysis
- ct scans
- pet ct
- ground truth
- multiple objects
- magnetic resonance
- unsupervised learning
- ct imaging