3 papers
cs.CV2024
Integrated feature analysis for deep learning interpretation and class activation maps
Yanli Li, Tahereh Hassanzadeh, Denis P. Shamonin +3
Understanding the decisions of deep learning (DL) models is essential for the acceptance of DL to risk-sensitive applications. Although methods, like class activation maps (CAMs),…
eess.IV2021
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
Jingnan Jia, Marius Staring, Irene Hernández-Girón +3
Visually scoring lung involvement in systemic sclerosis from CT scans plays an important role in monitoring progression, but its labor intensiveness hinders practical application.…
eess.IV2021
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
Jingnan Jia, Zhiwei Zhai, M. Els Bakker +3
Pulmonary lobe segmentation is an important preprocessing task for the analysis of lung diseases. Traditional methods relying on fissure detection or other anatomical features, suc…