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MLDM
2005
Springer

Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures

10 years 5 months ago
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures
This paper uses a set of 3D geometric measures with the purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, these measures are analyzed with a technique for classification and analysis called reforcement learning. We have concluded that this techinique allows good discrimination from benign to malignant nodules.
Aristófanes Corrêa Silva, Valdeci Rib
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where MLDM
Authors Aristófanes Corrêa Silva, Valdeci Ribeiro da Silva Jr., Areolino de Almeida Neto, Anselmo Cardoso de Paiva
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