Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs
نویسندگان
چکیده
In this paper we describe and compare two different methods to reduce the cardinality of the set of candidates nodules, characterized by an high sensitivity ratio, and extracted from PA chest radiographs by a fully automatized method. The methods are a rule based system and a feed-forward neural network trained by back-propagation. Both the systems allow to recognize almost the 021 % of false positives without losing any true positives.
منابع مشابه
Nodule Detection in Postero Anterior Chest Radiographs
The use of image processing techniques and Computer Aided Diagnosis (CAD) systems has proved to be effective for the improvement of radiologists’ diagnosis, especially in the case of lung nodules detection. In this paper we describe a method for processing Postero Anterior chest radiographs which extracts a set of nodule candidate regions characterized by low cardinality and high sensitivity ra...
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