Study of Medical Image Processing techniques applied to Lung Cancer
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Fecha
2019-07
Autores
Moreno, Silvia
Bonfante, Mario
Zurek, Eduardo
San Juan, Homero
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Editor
IEEE
Resumen
Lung cancer is the leading cause of death from
cancer worldwide. Medical images are essential in the diagnosis
and prognosis of lung cancer. Medical image processing
techniques such as Radiomics allow extracting information from
these images that it is not accessible without computational
means, and may be useful in the detection and treatment of
cancer. This article presents the state of the art of image
processing techniques applied in the study of lung cancer,
emphasizing in two main tasks: segmentation of nodules or
tumors, and extraction of useful features for classification and
prognosis of tumor evolution using Radiomics.
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Palabras clave
Lung Cancer, Medical Image Processing, Radiomics