Results 31 to 40 of about 900,764 (306)
BMC Cancer, 2008 Background The aim of this study is to investigate the relationship between16-slice spiral CT perfusion imaging and tumor angiogenesis and VEGF (vascular endothelial growth factor) expression in patients with benign and malignant pulmonary nodules, and ...
Cheng Xiao-Ling +9 more
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Describing Pulmonary Nodules Using 3D Clustering
Advanced Engineering Research, 2022 Introduction. Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists.
Amera Al-Funjan +2 more
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Solitary Peripheral Pulmonary Nodule Due to Mycobacterium Avium Infection [PDF]
, 2004 A 53-year-old woman was admitted for evaluation of a solitary pulmonary nodule on the chest radiograph. She was asymptomatic and had no past history or familial history. Physical and laboratory findings revealed no abnormality.
濱中, 一敏 +6 more
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PLoS ONE, 2017 The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the ...
Wei Zhang +5 more
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Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
Scientific Reports, 2022 Lung CAD system can provide auxiliary third-party opinions for doctors, improve the accuracy of lung nodule recognition. The selection and fusion of nodule features and the advancement of recognition algorithms are crucial improving lung CAD systems ...
Yang Li +5 more
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Frontiers in Medicine, 2022 Rationale and ObjectivesComputed tomography (CT) lung nodule assessment is routinely performed and appears very promising for lung cancer screening. However, the radiation exposure through time remains a concern.
Emeline Darçot +19 more
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SAM-Guided Accurate Pulmonary Nodule Image Segmentation
IEEE AccessAddressing the challenges of inaccurate lung nodule segmentation due to significant scale variations, indistinct boundary textures, and intense background noise, this study introduces a Segment Anything model (SAM)-based feature-enhanced U-Net algorithm ...
Xuewei Niu +4 more
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Review of Classification Methods for Lung Nodules in CT Images [PDF]
Jisuanji kexue yu tansuoIn recent years, deep learning has been widely applied to various classification tasks due to its capability in automatically extracting features and superior classification performance.
LI Jiancheng, CAO Lu, HE Xiquan, LIAO Junhong
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Fluorescence-guided lung nodule identification during minimally invasive lung resections [PDF]
, 2022 In the last few years, minimally invasive surgery has become the standard routine practice to manage lung nodules. Particularly in the case of robotic thoracic surgery, the identification of the lung nodules that do not surface on the visceral pleura ...
Francesco Facciolo +8 more
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DiagnosticsBackground/Objectives: Accurate volumetric assessment of lung nodules is an essential element of low-dose lung cancer screening programs. Current guidance recommends applying specific thresholds to measured nodule volume to make the following clinical ...
Dongok Kim +4 more
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