Comput. Biol. Med. - Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs.

Tópicos

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Resumo

This paper presents a computer-aided diagnosis (CAD) system for the assessment of Acute Respiratory Distress Syndrome (ARDS) from chest radiographs. Our method consists in automatically extracting intercostal patches from chest radiographs belonging to the test database using a semiautomatic segmentation method of the ribs. Statistical and spectral features are computed from each patch then a method of feature transformation is applied using the Linear Discriminant Analysis (LDA). A training database of 321 patches was classified by an expert in two classes, a class of normal patches and a class of abnormal patches. Patches belonging to the test database are then classified using the SVM classifier. Finally, the rate of abnormal patches is calculated for each quadrant to decide if the chest radiograph presents an ARDS. The method has been evaluated on 90 radiographs where 53 images present ARDS. The results show a sensitivity of 90.6% at a specificity of 86.5%.

Resumo Limpo

paper present computeraid diagnosi cad system assess acut respiratori distress syndrom ard chest radiograph method consist automat extract intercost patch chest radiograph belong test databas use semiautomat segment method rib statist spectral featur comput patch method featur transform appli use linear discrimin analysi lda train databas patch classifi expert two class class normal patch class abnorm patch patch belong test databas classifi use svm classifi final rate abnorm patch calcul quadrant decid chest radiograph present ard method evalu radiograph imag present ard result show sensit specif

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