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eess.IV2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid +3
Automated lobar segmentation allows regional evaluation of lung disease and is important for diagnosis and therapy planning. Advanced statistical workflows permitting such evaluati…
eess.IV2020★ 4 cited
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment
Fahdi Kanavati, Shah Islam, Zohaib Arain +2
Objective: To demonstrate the effectiveness of using a deep learning-based approach for a fully automated slice-based measurement of muscle mass for assessing sarcopenia on CT scan…