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LGDNet: local feature coupling global representations network for pulmonary nodules detection
AbstractDetection of suspicious pulmonary nodules from lung CT scans is a crucial task in computer-aided diagnosis (CAD) systems. In recent years,...
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PB-LNet: a model for predicting pathological subtypes of pulmonary nodules on CT images
ObjectiveTo investigate the correlation between CT imaging features and pathological subtypes of pulmonary nodules and construct a prediction model...
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Serum lncRNA THRIL predicts benign and malignant pulmonary nodules and promotes the progression of pulmonary malignancies
BackgroundThis project aimed to research the significance of THRIL in the diagnosis of benign and malignant solitary pulmonary nodules (SPNs) and to...
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Development and validation of a risk model with variables related to non-small cell lung cancer in patients with pulmonary nodules: a retrospective study
BackgroundLung cancer is a major global threat to public health for which a novel predictive nomogram is urgently needed. Non-small cell lung cancer...
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The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images
BackgroundSolid pulmonary nodules are different from subsolid nodules and the diagnosis is much more challenging. We intended to evaluate the...
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Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules
ObjectiveTo develop and validate predictive models using clinical parameters, radiomic features and a combination of both for preoperative...
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Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign
ObjectivesTo evaluate the discriminatory capability of spectral CT-based radiomics to distinguish benign from malignant solitary pulmonary solid...
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Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules
BackgroundThe accuracy of CT and tumour markers in screening lung cancer needs to be improved. Computer-aided diagnosis has been reported to...
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Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification
PurposeMost pulmonary nodule classification methods solely rely on nodule images without considering the corresponding attribute information....
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Diagnosis of pulmonary nodules by DNA methylation analysis in bronchoalveolar lavage fluids
BackgroundLung cancer is the leading cause of cancer-related mortality. The alteration of DNA methylation plays a major role in the development of...
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DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection
With the advancement of artificial intelligence, CNNs have been successfully introduced into the discipline of medical data analyzing. Clinically,...
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Preliminary study of 3 T-MRI native T1-map** radiomics in differential diagnosis of non-calcified solid pulmonary nodules/masses
BackgroundCumulative CT radiation damage was positively correlated with increased tumor risks. Although it has recently been known that non-radiation...
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Epigenetic imprinting alterations as effective diagnostic biomarkers for early-stage lung cancer and small pulmonary nodules
BackgroundEarly lung cancer detection remains a clinical challenge for standard diagnostic biopsies due to insufficient tumor morphological evidence....
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Pulmonary nodule detection based on IR-UNet + +
Lung cancer is one of the cancers with the highest incidence rate and death rate worldwide. An initial lesion of the lung appears as nodules in the...
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The podoplanin-CLEC-2 interaction promotes platelet-mediated melanoma pulmonary metastasis
BackgroundPodoplanin (PDPN) expressed on tumour cells interacts with platelet C-type lectin-like receptor 2 (CLEC-2). This study aimed to investigate...
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Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans
BackgroundChest Computed tomography (CT) scans detect lung nodules and assess pulmonary fibrosis. While pulmonary fibrosis indicates increased lung...
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Pulmonary nodule segmentation based on REMU-Net
In recent years, U-Net has shown excellent performance in medical image segmentation, but it cannot accurately segment nodules of smaller size when...
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A method for distinguishing benign and malignant pulmonary nodules based on 3D dual path network aided by K-means clustering analysis
目的为了提高肺癌早期诊断的准确性,本文使用机器学**,可以有效地帮助放射科医生区分肺结节的良恶性。
创新点基于三维双路径网络（3DDPN）辅助 K 均值聚类分析区分良恶性肺结节,类别分析可以有效地表示良恶性肺结节的多种潜在亚型。
方法在这项研究中,我们提出了一种基于3DDPN并辅以聚类分析来识别良恶性...
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Utility of cell-free DNA from bronchial washing fluid in diagnosis and genomic determination for radiology-suspected pulmonary nodules
BackgroundBronchial washing fluid (BWF) is a less-invasive specimen. Due to the limited sensitivity of BWF cellular component diagnosis, the aim of...
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Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques
Early and automatic diagnosis of Solitary Pulmonary Nodules (SPN) in Computed Tomography (CT) chest scans can provide early treatment for patients...
