Chest CT Scan Analysis with Deep Learning

By R. A. / 16/10/2018 / RSIP Vision Learns / No Comments

Chest radiography, with modalities such as X-Ray and CT, is now the common practice for the detection and analysis of the progression of lung tumors, tuberculosis and other pulmonary abnormalities. To date, most analysis are done by expert radiographers, who analyze resulting scans and estimate p...

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Deep Learning in Pulmonology

By R. A. / 13/08/2018 / RSIP Vision Learns / No Comments

Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection. Some of these applications are still in ongoing development, and here we review few of the most recen...

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Lung Segmentation Software

By R. A. / 03/01/2017 / RSIP Vision Learns / No Comments

The lower respiratory tract in humans includes the lungs along with their pulmonary vasculature. High degree of capillary and pulmonary branching in the respiratory system provides humans with a surface area of about 70 squared meters, in which an exchange of oxygen and CO2 are continuously being...

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By R. A. / 06/07/2016 / Application Fields / No Comments

Applications of computer vision in pulmonary imagery

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Lungs tumors and nodules segmentation with Deep Learning

By R. A. / 03/02/2016 / RSIP Vision Learns / No Comments

Lung nodules are masses of tissue in the lung which on a chest X-ray or computerized tomography (CT) scan appear as round, white shadows. Though lung nodules are quite common and most of them are noncancerous (benign), some nodules may be cancerous and it is extremely important to identify them e...

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Lung Nodule Classification

By R. A. / 29/01/2016 / RSIP Vision Learns / No Comments

Lung cancer is the major cause of cancer death and the second most common cancer among men and women in the United States. It accounts for about 13% of all new cancers (more than 220,000 in the U.S. in 2015)*. Statistics on survival in people with lung cancer vary depending on the stage or extent...

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Chest CT Registration

By R. A. / 28/01/2016 / RSIP Vision Learns / No Comments

Lung cancer is the leading cancer killer of men and women in the U.S. and it causes more deaths than colorectal, breast and prostate cancers combined*. One reason lung cancer is so lethal is that it is hard to detect in its early stages. It may take several years for the lung cancer to grow, [&he...

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Airways segmentation with Deep Learning

By R. A. / 26/01/2016 / RSIP Vision Learns / No Comments

Image processing is a fundamental technique in the quest to identify physical pathologies. Lung cancer is today one of the main causes of death in the world among both men and women, with an impressive rate of about five million deadly cases per year. The survival rate is strictly related to the ...

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Pulmonary lobes segmentation

By R. A. / 24/01/2016 / RSIP Vision Learns / No Comments

The left lung is divided in two lobes, the upper and the lower lobe. These two lobes are separated by an oblique fissure (the left major fissure). In the right lung, an oblique fissure (the right minor fissure) and a horizontal fissure (the right major fissure) separate the lung into three lobes ...

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Pulmonary embolism detection

By R. A. / 21/01/2016 / RSIP Vision Learns / No Comments

Pulmonary embolism is the obstruction of a blood vessel in the lungs, usually due to a blood clot. It is a very widespread disease, with at least 650,000 cases in the United States every year. It is the third most common cause of death in the US, presenting mortality rates of 25% to 30% when [&he...

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Lung Lymph Nodes Detection

By Felicity / 19/01/2016 / RSIP Vision Learns / No Comments

Analyzing pulmonary lymph nodes can give us valuable information for lung cancer diagnosis, staging and evaluation of reaction to treatment. As a consequence, automatic and reliable segmentation and detection of enlarged lymph nodes in the lungs can be a breakthrough of remarkable clinical value....

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Lung vessel segmentation

By Felicity / 17/01/2016 / RSIP Vision Learns / No Comments

Blood vessel segmentation of the lungs can help to identify important pulmonary diseases: it contributes to characterize nodules in the lungs, detect pulmonary emboli and evaluate the lungs vasculature in pulmonary hypertension. The patient’s individual values can be compared with normative value...

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Lung Segmentation Software

By Felicity / 10/02/2015 / / No Comments

RSIP Vision's advanced lung segmentation software segments the pulmonary vasculature & airways, allowing for more accurate & efficient diagnosis.

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