Augmented intelligence to predict V/Q-matched defects based on dynamic lung perfusion scan.
Conclusion: In this study, we proposed a deep learning model to predict V/Q-matched defects based on solely dynamic lung perfusion scan. This technique would help the interpretation when the ventilation scan was interfered by aerosol trapping.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Ko, C.-L., Yen, R.-F., Chen, C.-M. Tags: Data Sciences (Poster Session) Source Type: research
More News: Hypertension | Learning | Nuclear Medicine | Perfusion | PET Scan | Pulmonary Hypertension | Pulmonary Thromboembolism | Respiratory Medicine | SPECT | Study | Training | Universities & Medical Training