NoduleNet is an end-to-end 3D DCNN that jointly solves nodule detection, false positive reduction, and segmentation via decoupled features and refinement subnet, reporting 10.27% detection improvement over single-task baseline on LIDC.
Journal of digital imaging 29(4), 476–487 (2016)
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NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
NoduleNet is an end-to-end 3D DCNN that jointly solves nodule detection, false positive reduction, and segmentation via decoupled features and refinement subnet, reporting 10.27% detection improvement over single-task baseline on LIDC.