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Lung Nodule Segmentation

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Showing 1–30 of 30 papers

TitleStatusHype
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention MechanismCode1
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware AttentionCode1
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
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Road Extraction by Deep Residual U-NetCode1
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
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
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
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