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Lung Nodule Segmentation

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Showing 1–25 of 30 papers

TitleStatusHype
Lung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures—0
A Unified Multi-Scale Attention-Based Network for Automatic 3D Segmentation of Lung Parenchyma & Nodules In Thoracic CT ImagesCode0
Longitudinal Assessment of Lung Lesion Burden in CT—0
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation—0
Hierarchical Object-Centric Learning with Capsule Networks—0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks—0
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention MechanismCode1
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware AttentionCode1
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
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restorationCode1
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentationCode1
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
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Dual-branch residual network for lung nodule segmentation—0
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