Large cells cancer volumetry in chest computed tomography pulmonary images
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Fecha
2019
Autores
Huérfano, Y
Vera, M
Gelvez-Almeida, E
Vera, M I
Valbuena, O
Salazar-Torres, J
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Editor
IOP Publishing
Resumen
Lung cancer is the leading oncological cause of death in the world. As for
carcinomas, they represent between 90% and 95% of lung cancers; among them, non-small cell
lung cancer is the most common type and the large cell carcinoma, the pathology on which this
research focuses, is usually detected with the computed tomography images of the thorax.
These images have three big problems: noise, artifacts and low contrast. The volume of the
large cell carcinoma is obtained from the segmentations of the cancerous tumor generated, in a
semi-automatic way, by a computational strategy based on a combination of algorithms that, in
order to address the aforementioned problems, considers median and gradient magnitude filters
and an unsupervised grouping technique for generating the large cell carcinoma morphology.
The results of high correlation between the semi-automatic segmentations and the manual ones,
drawn up by a pulmonologist, allow us to infer the excellent performance of the proposed
technique. This technique can be useful in the detection and monitoring of large cell carcinoma
and if it is considering this kind of computational strategy, medical specialists can establish the
clinic or surgical actions oriented to address this pulmonary pathology.
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Palabras clave
Lung cancer, Large Cell Lung Carcinoma, LCLC