Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

Wenzhe Wang; Jian Wu; Yifei Lu; Jintai Chen; Hongyun Yu; Danny Z. Chen; Tingting Chen; Ruiwei Feng

doi:10.1109/access.2019.2939850

Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

Wenzhe Wang(Nanchang University), Jian Wu(North University of China), Yifei Lu(Zhejiang University), Jintai Chen(Second Affiliated Hospital of Zhejiang University), Hongyun Yu(Zhejiang University), Danny Z. Chen(University of Notre Dame), Tingting Chen(Guangzhou University of Chinese Medicine), Ruiwei Feng(Zhejiang University of Science and Technology)

IEEE Access

January 1, 2019

10.1109/access.2019.2939850

Cited by 28

|Unknown|2024|273

A Hierarchical Graph Network for 3D Object Detection on Point Clouds

|Unknown|2020|177

D-former: a U-shaped Dilated Transformer for 3D medical image segmentation

|Neural Computing and Applications|2022|160

CNS-Native Myeloid Cells Drive Immune Suppression in the Brain Metastatic Niche through Cxcl10

|Cell|2020|158

Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation

|IEEE Transactions on Medical Imaging|2021|130

Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

Related Papers