Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

H Madero Orozco, OO Vergara Villegas… - Biomedical engineering …, 2015 - Springer
Background Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled
growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the
most sensitive method for detecting cancerous lung nodules. A lung nodule is a round lesion
which can be either non-cancerous or cancerous. In the CT, the lung cancer is observed as
round white shadow nodules. The possibility to obtain a manually accurate interpretation
from CT scans demands a big effort by the radiologist and might be a fatiguing process …

[HTML][HTML] Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

MJN Alfaro, HJO Domínguez, VGC Sánchez… - 2015 - oa.las.ac.cn
Background Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled
growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the
most sensitive method for detecting cancerous lung nodules. A lung nodule is a round lesion
which can be either non-cancerous or cancerous. In the CT, the lung cancer is observed as
round white shadow nodules. The possibility to obtain a manually accurate interpretation
from CT scans demands a big effort by the radiologist and might be a fatiguing process …
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