SOTAVerified

Lung Nodule Segmentation

Papers

Showing 21–30 of 30 papers

TitleStatusHype
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning—0
Level set image segmentation with velocity term learned from data with applications to lung nodule segmentationCode0
Dual-branch residual network for lung nodule segmentation—0
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep networkCode0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction—0
Filter sharing: Efficient learning of parameters for volumetric convolutions—0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.