Impact of noncardiac findings in patients undergoing CT coronary angiography: a substudy of the Scottish computed tomography of the heart (SCOT-HEART) trial
Sign Up to like & getrecommendations! Published in 2017 at "European Radiology"
DOI: 10.1007/s00330-017-5181-5
Abstract: ObjectivesNoncardiac findings are common on coronary computed tomography angiography (CCTA). We assessed the clinical impact of noncardiac findings, and potential changes to surveillance scans with the application of new lung nodule guidelines.MethodsThis substudy of the… read more here.
Keywords: heart; impact; patients undergoing; lung nodule ... See more keywords
An IOMT assisted lung nodule segmentation using enhanced receptive field-based modified UNet
Sign Up to like & getrecommendations! Published in 2021 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-021-01637-x
Abstract: Smart healthcare systems manage and deal with a large amount of data generated by the Internet of Medical Things (IOMT) devices. This big data processing requires efficient computer-aided diagnostic (CAD) systems. Recently, IOMT-based systems are… read more here.
Keywords: modified unet; nodule segmentation; enhanced receptive; lung nodule ... See more keywords
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0874-5
Abstract: Similarity measurement of lung nodules is a critical component in content-based image retrieval (CBIR), which can be useful in differentiating between benign and malignant lung nodules on computer tomography (CT). This paper proposes a new… read more here.
Keywords: based image; content based; similarity; nodule ... See more keywords
Learning Lung Nodule Malignancy Likelihood from Radiologist Annotations or Diagnosis Data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-017-0317-2
Abstract: Lung cancer is the world’s most lethal type of cancer, being crucial that an early diagnosis is made in order to achieve successful treatments. Computer-aided diagnosis can play an important role in lung nodule detection… read more here.
Keywords: diagnosis; lung nodule; malignancy likelihood; diagnosis data ... See more keywords
Ultrasound-Guided Phrenic Nerve Block for Lung Nodule Biopsy: Single-Center Initial Experience.
Sign Up to like & getrecommendations! Published in 2021 at "Academic radiology"
DOI: 10.1016/j.acra.2021.04.017
Abstract: RATIONALE AND OBJECTIVES Biopsy of lung nodules in the lower lung fields can be difficult because of breathing motion. Ipsilateral phrenic nerve block (PNB) before biopsy should make the biopsy safer, easier, and more precisely… read more here.
Keywords: pnb; ultrasound guided; lung nodule; nodule biopsy ... See more keywords
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.05.006
Abstract: BACKGROUND AND OBJECTIVE Detection of lung nodules is critical in CAD systems; this is because of their similar contrast with other structures and low density, which result in the generation of numerous false positives (FPs).… read more here.
Keywords: methodology; network; convolutional neural; pso ... See more keywords
Detection of lung nodule and cancer using novel Mask-3 FCM and TWEDLNN algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2020.108882
Abstract: Abstract Lung Cancer (LC) is reported as common cause of death all over the world. The detection of cancer can save many lives and help likelihood of survival. Physicians use CT (computed tomography) for examination… read more here.
Keywords: detection; mask; twedlnn; lung nodule ... See more keywords
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101772
Abstract: The accurate identification of malignant lung nodules using computed tomography (CT) screening images is vital for the early detection of lung cancer. It also offers patients the best chance of cure, because non-invasive CT imaging has… read more here.
Keywords: nodule malignancy; mscs deepln; lung nodule; lung ... See more keywords
Automatic detect lung node with deep learning in segmentation and imbalance data labeling
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-90599-4
Abstract: In this study, a novel method with the U-Net-based network architecture, 2D U-Net, is employed to segment the position of lung nodules, which are an early symptom of lung cancer and have a high probability… read more here.
Keywords: usepackage; segmentation; deep learning; labeling ... See more keywords
Role of biomarkers in lung nodule evaluation
Sign Up to like & getrecommendations! Published in 2022 at "Current Opinion in Pulmonary Medicine"
DOI: 10.1097/mcp.0000000000000886
Abstract: Purpose of review Worldwide, lung cancer is the leading cause of cancer mortality. Much of this mortality is thought to be secondary to detection in later stages, where treatment options and survivability are limited. The… read more here.
Keywords: biomarkers lung; nodule evaluation; role biomarkers; cancer ... See more keywords
Gated-Dilated Networks for Lung Nodule Classification in CT Scans
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2958663
Abstract: Different types of Convolutional Neural Networks (CNNs) have been applied to detect cancerous lung nodules from computed tomography (CT) scans. However, the size of a nodule is very diverse and can range anywhere between 3… read more here.
Keywords: networks lung; lung nodule; gated dilated; classification ... See more keywords