Resumo

RIVERO CASTRO, Arelys; RIVERA SUAREZ, Yoel; BORGES GONZALEZ, Yosuani  e  NARANJO GORRIN, Yoanny. Algorithm for identification of solitary pulmonary nodules in chest tomography scan images. RCIM [online]. 2015, vol.7, n.1, pp. 73-88. ISSN 1684-1859.

The identification of lung cancer at early stages has been in recent years a prioritized task for the scientific community. This disease is the leading cause of death in men and the third after the colon and breast cancer in women. Performing imaging studies contributes to the early detection of this disease. The high volume of images generated by medical equipment leads to reviewing much information to issue a medical diagnosis. Often are required the assessment of several specialists to reach an accurate diagnosis, slowing the process of patient care. In the present investigation are exposed the results obtained to develop an algorithm using image processing methods for the identification of solitary pulmonary nodules. The use of systems that direct the attention of specialists to candidate regions in the image, providing a second opinion in the interpretation of results could improve consistency and agility in the diagnostic process. The results obtained by the developed algorithm were compared with annotations in images published in The Lung Image Database Consortium Image Collection (LIDC-IDRI) and was obtained 77.78 % accuracy in the detection of solitary pulmonary nodules.

Palavras-chave : identifying algorithm; lung cancer; solitary pulmonary nodules; medical image processing; chest tomography.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )