Support System for Semiautomatic Quantification of Pulmonary Fibrosis in CT Images
Keyword(s):
A method to estimate the pulmonary fibrosis in computed tomography (CT) imaging is presented. A semi-automatic segmentation algorithm based on the Chan-Vese method was used. The proposed method shows a similar fibrosis region with respect to clinical expert. However, the results need to be validated in a bigger data base. The proposed method approximates a fibrosis percentage that allows to achieve this procedure easily in order to support its implementation in the clinical practice minimizing the clinical expert subjectivity and generating a quantitativeestimation of fibrosis region.
2017 ◽
Keyword(s):
2017 ◽
Vol 140
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pp. 290-302
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Keyword(s):
2021 ◽
2016 ◽
Vol 121
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pp. 191-194
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Keyword(s):
Keyword(s):
2020 ◽
Vol 6
(5)
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pp. 95-100