Wei Fan

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

AnatomyNet is a 3D squeeze-and-excitation U-Net for fast and automated whole-volume head and neck anatomical segmentation, achieving improved Dice similarity coefficients over existing methods.

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

On LIDC-IDRI, gradient boosting on 3D dual path network features reaches 90.44% accuracy on annotated nodules; with a 3D Faster R-CNN detector, patient-level accuracy is 81.41%, 99% of doctors' average.