{%ark%} ODAS University of J.E. Purkyne, Ústí nad Labem, Czechia, odas.ki.ujep.cz" en CC-BY 4.0 {%size%} bytes https://publications.europa.eu/resource/authority/access-right/PUBLIC {%hash%} CSIRT A case study to validate the proposed medical image segmentation method based on supervised machine-learning pixel classification. This study uses a public dataset of chest X-ray images published as: Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan F, Xue Z, Palaniappan K, Singh RK, Antani S, Thoma G, Wang YX, Lu PX, McDonald CJ. Automatic tuberculosis screening using chest radiographs. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. PMID: 24108713 and Candemir S, Jaeger S, Palaniappan K, Musco JP, Singh RK, Xue Z, Karargyris A, Antani S, Thoma G, McDonald CJ. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. PMID: 24239990 Jaeger S., Karargyris A., Candemir S., Folio L., Siegelman J., Callaghan F., Xue Z., Palaniappan K., Singh R.K., Antani S., Thoma G., Wang Y.X., Lu P.X., McDonald C.J., Musco J.P.