Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-Saharan Africa.

Autor: Marianne Breuninger, Bram van Ginneken, Rick H H M Philipsen, Francis Mhimbira, Jerry J Hella, Fred Lwilla, Jan van den Hombergh, Amanda Ross, Levan Jugheli, Dirk Wagner, Klaus Reither

Publikováno v: PLoS ONE, Vol 9, Iss 9, p e106381 (2014)

Chest radiography to diagnose and screen for pulmonary tuberculosis has limitations, especially due to inter-reader variability. Automating the interpretation has the potential to overcome this drawback and to deliver objective and reproducible resul

Externí odkaz: https://doaj.org/article/7d48456356e14ba6b4365b0f1cce9337

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey

Autor: Nathan Kapata, Pascalina Chanda-Kapata, B. van Ginneken, Jaime Melendez, Rick H. H. M. Philipsen, Veronica Sunkutu

Publikováno v: International Journal of Tuberculosis and Lung Disease, 21, 8, pp. 880-886
international journal of tuberculosis and lung disease, 21(8), 880-886. International Union Against Tuberculosis and Lung Disease (The Union)
International Journal of Tuberculosis and Lung Disease, 21, 880-886

Contains fulltext : 181866.pdf (Publisher’s version ) (Open Access) SETTING: Tuberculosis (TB) prevalence survey in Zambia between 2013 and 2014. OBJECTIVE: To compare the performance of automatic software (CAD4TB 5) in chest X-ray (CXR) reading wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5c97204f2ac5c67cfac9343405c47cd
https://doi.org/10.5588/ijtld.16.0851

Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

Autor: Grant Theron, Liesbeth Peters-Bax, Pragnya Maduskar, Clara I. Sánchez, Keertan Dheda, Rick H. H. M. Philipsen, Bram van Ginneken, Rodney Dawson, Laurens Hogeweg, Alistair Story

Publikováno v: IEEE Transactions on Medical Imaging. 34:2429-2442

Tuberculosis (TB) is a common disease with high mortality and morbidity rates worldwide. Automatic systems to detect TB on chest radiographs (CXRs) can improve the efficiency of diagnostic algorithms for pulmonary TB. The diverse manifestation of TB

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0308e45ca82eceed80d0aa7cbf37450
https://doi.org/10.1109/tmi.2015.2405761

Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography

Autor: Rick H. H. M. Philipsen, Bram van Ginneken, Laurens Hogeweg, Pragnya Maduskar, Clara I. Sánchez

Publikováno v: Medical Physics, 44, 6, pp. 2242-2256
Medical Physics, 44, 2242-2256

Contains fulltext : 175031.pdf (Publisher’s version ) (Open Access) PURPOSE: Symmetry is an important feature of human anatomy and the absence of symmetry in medical images can indicate the presence of pathology. Quantification of image symmetry ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5411675ba99a1dcc2225f56f503405a
https://hdl.handle.net/2066/175031

Automatic detection of pleural effusion in chest radiographs

Autor: Rick H. H. M. Philipsen, Bram van Ginneken, Jaime Melendez, Helen Ayles, Pragnya Maduskar, Ernst T. Scholten, Duncan Chanda, Clara I. Sánchez

Publikováno v: Medical Image Analysis, 28, pp. 22-32
Medical Image Analysis, 28, 22-32

Contains fulltext : 168319.pdf (Publisher’s version ) (Open Access) Automated detection of Tuberculosis (TB) using chest radiographs (CXRs) is gaining popularity due to the lack of trained human readers in resource limited countries with a high TB

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118a94d429365c4127e7ce77421b41ca
https://hdl.handle.net/2066/168319