Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. (arXiv:2209.02048v2 [eess.IV] UPDATED)

Airway segmentation is crucial for the examination, diagnosis, and prognosis
of lung diseases, while its manual delineation is unduly burdensome. To
alleviate this time-consuming and potentially subjective manual procedure,
researchers have proposed methods to automatically segment airways from
computerized tomography (CT) images. However, some small-sized airway branches
(e.g., bronchus and terminal bronchioles) significantly aggravate the
difficulty of automatic segmentation by machine learning models. In particular,
the variance of voxel values and the severe data imbalance in airway branches
make the …

arxiv attention discontinuity network neural network segmentation