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Evaluating Multi-Task Morphological Concept Learning for Pulmonary Nodule Malignancy Assessment in 3D CT
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multi-taskclassificationmedical imaging
2609.38271
Builder Relevance
1h ago30%
Abstract
This study examines the impact of learning morphological features alongside malignancy risk on the classification performance of pulmonary nodules in 3D CT.
Reality Card
Core Claim
Including morphological features did not clearly improve malignancy-risk classification in pulmonary nodules.
Method / Result
The single-task model achieved a balanced accuracy of 0.548 and ROC-AUC of 0.552.
Limitations
Auxiliary tasks were strongly imbalanced and showed limited predictive performance.
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