| Title |
Computer-aided detection of interstitial lung diseases: a texture approach / |
| Authors |
Plankis, Tomas ; Juozapavičius, Algimantas ; Stašienė, Eglė ; Usonis, Vytautas |
| DOI |
10.15388/NA.2017.3.8 |
| Full Text |
|
| Is Part of |
Nonlinear analysis : modelling and control.. Vilnius : Vilnius University Institute of Mathematics and Informatics. 2017, Vol. 22, No. 3, p. 404-411.. ISSN 1392-5113 |
| Keywords [eng] |
automatic lung disease recognition ; image segmentation ; computer-aided detection |
| Abstract [eng] |
We have developed the flexible scheme for computer-aided detection (CAD) of interstitial lung diseases on chest radiographs. These schemes enable us to perform diagnostics in the broad circumstances of pneumonia and other interstitial lung diseases. It is applied in the case of children pneumonia when conditions are difficult to standardize. In the adults’ case, the schemes of CAD are more adaptive since there are more characteristic interstitial lung tissue’s changes to all kinds of pathological conditions. Even in the norm of drawing, there are more visible and more highlighted features leading to better results. The CAD scheme works as follows. For the first of all, we are using adopted algorithms of active contours to select the area of lungs and then divide this area into subareas – regions of interest (40 different ROI). Then ROIs were subjected to the 2-dimensional Daubechies wavelet transform, and only main transformation was used. For every transformation, 12 texture measures were calculated. Principal component analysis (PCA) was used to extract 2 main components for each ROI, and these components were compared to predictive component region. |
| Published |
Vilnius : Vilnius University Institute of Mathematics and Informatics |
| Type |
Journal article |
| Language |
English |
| Publication date |
2017 |
| CC license |
|
