CCEMSS ‐Unet++: An Enhanced Multi‐Scale Context Fusion Network for Pulmonary Nodule Segmentation

ABSTRACT In CT imaging, the size, shape, margin, and density of pulmonary nodules are used to determine whether they are benign or malignant. However, pulmonary nodules often exhibit challenging characteristics in CT images, such as irregular shapes, and tiny nodules are prone to being overlooked. In addition, the density of nodules may be similar to that of surrounding tissues. When the nodules are small or close to the pulmonary wall, their resolution is low, making them difficult to distinguish. Because of these characteristics, it is quite challenging to segment pulmonary nodules automatically. This research proposes CCEMSS‐Unet++, a medical image segmentation network that enhances feature fusion between…