Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.

08:00 EDT 26th April 2019 | BioPortfolio

Summary of "Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks."

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).


Journal Details

This article was published in the following journal.

Name: International journal of computer assisted radiology and surgery
ISSN: 1861-6429


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Medical and Biotech [MESH] Definitions

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).

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