Detection-guided deep learning-based model with spatial regularization for lung nodule segmentation

Abstract

The proposed multitask model performs lung nodule segmentation while facilitating classification outputs with feature combination and through regularization. By utilizing TL, the model achieves strong performance even with limited training data. Its simplicity makes it adaptable and provides a foundation for further enhancements to suit other specific datasets.