An Efficient DA-Net Architecture for Lung Nodule Segmentation
Mathematics, 2021 A typical growth of cells inside tissue is normally known as a nodular entity. Lung nodule segmentation from computed tomography (CT) images becomes crucial for early lung cancer diagnosis.
Muazzam Maqsood +4 more
doaj +4 more sources
The impact of lung parenchyma attenuation on nodule volumetry in lung cancer screening [PDF]
Insights into Imaging, 2021 Background Recent recommendations for lung nodule management include volumetric analysis using tools that present intrinsic measurement variability, with possible impacts on clinical decisions and patient safety.
Diana Penha +6 more
doaj +2 more sources
Statistical Analysis of nnU-Net Models for Lung Nodule Segmentation [PDF]
Journal of Personalized MedicineThis paper aims to conduct a statistical analysis of different components of nnU-Net models to build an optimal pipeline for lung nodule segmentation in computed tomography images (CT scan).
Olga Valenzuela +2 more
exaly +4 more sources
Lung Nodule CT Image Segmentation Model Based on Multiscale Dense Residual Neural Network
Mathematics, 2023 To solve the problem of the low segmentation accuracy of lung nodule CT images using U-Net, an improved method for segmentation of lung nodules by U-Net was proposed.
Xinying Zhang +4 more
doaj +2 more sources
Improved Complementary Pulmonary Nodule Segmentation Model Based on Multi-Feature Fusion
Entropy, 2022 Accurate segmentation of lung nodules from pulmonary computed tomography (CT) slices plays a vital role in the analysis and diagnosis of lung cancer.
Tiequn Tang +5 more
doaj +2 more sources
A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention [PDF]
Scientific ReportsAccurate lung nodule segmentation is fundamental for the early detection of lung cancer. With the rapid development of deep learning, lung nodule segmentation models based on the encoder-decoder structure have become the mainstream research approach ...
Tianjiao Hu +5 more
doaj +2 more sources
Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network
IEEE Access, 2021 Lung nodule segmentation in CT images plays an important role in clinical diagnosis and treatment of lung cancers. Among different types of nodules, the solitary nodules usually have clear boundaries and the segmentation is relatively easy, while the ...
Zhitong Wu, Qianjun Zhou, Feng Wang
doaj +3 more sources
An intelligent lung nodule classification model using 3D Trans-DenseUnet++-based lung nodule segmentation [PDF]
Scientific ReportsLung nodule detection is necessary for lung cancer treatment, which is crucial for treating the patients. However, the current dataset comprises only a limited amount of lung Computed Tomography (CT) images, which shows potential imbalance between non ...
Pavan Kumar Illa +1 more
doaj +2 more sources
Pulmonary Nodule Segmentation Using Deep Learning: A Review
IEEE AccessAccurate segmentation of pulmonary nodule within medical imagery is of great significance for classification and diagnosis. This task is profoundly challenging due to scarcity of annotated data, the diversity of lung nodule features, and the complexity ...
Yong Wang +2 more
doaj +2 more sources
Multi-window uncertainty-guided network for lung nodule CT segmentation
Alexandria Engineering JournalAccurate segmentation of lung nodules from computed tomography (CT) scans is crucial for lung cancer prevention and early diagnosis. However, this task is challenging due to the varying sizes, irregular shapes, inconsistent densities of lung nodules, and
Xiao Lin +4 more
doaj +2 more sources