Lung Nodule Segmentation
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Benchmarks
Most implemented
Road Extraction by Deep Residual U-Net
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Papers
Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified Flow
Dense annotations, such as segmentation masks, are expensive and time-consuming to obtain, especially for 3D medical images where expert voxel-wise labeling is required. Weakly supervised approaches aim to address this l…
Medical Image SegmentationLung Nodule SegmentationLung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures
This study explores the application of various deep learning models for the segmentation of lung nodules using LIDC- IDRI. Unlike traditional approaches that utilize the full dataset, our work emphasizes the efficacy of …
Lung Nodule SegmentationSegmentationA Unified Multi-Scale Attention-Based Network for Automatic 3D Segmentation of Lung Parenchyma & Nodules In Thoracic CT Images
Lung cancer has been one of the major threats across the world with the highest mortalities. Computer-aided detection (CAD) can help in early detection and thus can help increase the survival rate. Accurate lung parenchy…
DecoderLung Nodule SegmentationSegmentationLongitudinal Assessment of Lung Lesion Burden in CT
In the U.S., lung cancer is the second major cause of death. Early detection of suspicious lung nodules is crucial for patient treatment planning, management, and improving outcomes. Many approaches for lung nodule segme…
AnatomyLung Nodule SegmentationLung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
With the rapid development of artificial intelligence (AI), AI-assisted medical imaging analysis demonstrates remarkable performance in early lung cancer screening. However, the costly annotation process and privacy conc…
DenoisingImage GenerationLung Nodule SegmentationSegmentation+2Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
Lung cancer is an extremely lethal disease primarily due to its late-stage diagnosis and significant mortality rate, making it the major cause of cancer-related demises globally. Machine Learning (ML) and Convolution Neu…
Lung Cancer DiagnosisLung Nodule SegmentationSegmentationTransfer Learning