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Pulmonary nodule detection has great significance for early treating lung cancer and increasing patient survival. This work presents a novel automated computer-aided detection scheme for pulmonary nodules based on deep convolutional neural networks (DCNNs).
This article was published in the following journal.
Name: International journal of computer assisted radiology and surgery
Early detection and treatment of lung cancer holds great importance. However, pulmonary-nodule classification using CT images alone is difficult to realize. To address this concern, a method for pulmo...
Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which pla...
To assess the feasibility of implementing fully automated computer-aided diagnosis (CAD) for detection of pulmonary nodules on CT pulmonary angiography (CTPA) studies in emergency setting.
With the development of deep learning methods such as convolutional neural network (CNN), the accuracy of automated pulmonary nodule detection has been greatly improved. However, the high computationa...
Since CAD (Computer Aided Diagnosis) system can make it easier and more efficient to interpret CT (Computer Tomography) images, it has gained much attention and developed rapidly in recent years. This...
Analyse immune repertoire and genetic mutations of benign and malignant pulmonary nodule，and evaluate peripheral blood detection for identifying nature of pulmonary nodule.
The purpose of this study is to apply the techniques of dynamic MRI imaging enhancement to research participants with one or more pulmonary nodule to determine if meaningful information ab...
Osteosarcoma is regarded as most common malignant bone tumor in children and adolescents. Approximately 15% to 20% of patients with osteosarcoma present with detectable metastatic disease,...
This study through the detection of EGFR、ALK、ROS1、KRAS、HER2、BARF、NTRG1 seven ctDNA and exosome RNA in the blood and alveolar lavage of lung nodules patients and heavy smoking h...
To perform a multiple reader, multiple case (MRMC) observer study assessing the detection performance of VolumeRAD tomosynthesis of the chest in detecting lung nodules.
A single lung lesion that is characterized by a small round mass of tissue, usually less than 1 cm in diameter, and can be detected by chest radiography. A solitary pulmonary nodule can be associated with neoplasm, tuberculosis, cyst, or other anomalies in the lung, the CHEST WALL, or the PLEURA.
A small round or oval, mostly subcutaneous nodule made up chiefly of a mass of Aschoff bodies and seen in cases of rheumatic fever. It is differentiated from the RHEUMATOID NODULE which appears in rheumatoid arthritis, most frequently over bony prominences. (From Dorland, 27th ed)
The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.
Detection of drugs that have been abused, overused, or misused, including legal and illegal drugs. Urine screening is the usual method of detection.
Combination or superimposition of two images for demonstrating differences between them (e.g., radiograph with contrast vs. one without, radionuclide images using different radionuclides, radiograph vs. radionuclide image) and in the preparation of audiovisual materials (e.g., offsetting identical images, coloring of vessels in angiograms).
Pulmonary relating to or associated with the lungs eg Asthma, chronic bronchitis, emphysema, COPD, Cystic Fibrosis, Influenza, Lung Cancer, Pneumonia, Pulmonary Arterial Hypertension, Sleep Disorders etc Follow and track Lung Cancer News ...
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