المؤلفون: Xiaochang Wu, Jiarui Liang, Yunxia Zhang, Xiaolin Tian

المصدر: Applied Sciences, Vol 13, Iss 8, p 5000 (2023)

مصطلحات موضوعية: Position and Direction Network, cardiac segmentation, X-ray chest radiograph, image segmentation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/8/5000; https://doaj.org/toc/2076-3417; https://doaj.org/article/dea1e5f5bebc4605896138ad3bfe67df

الاتاحة: https://doi.org/10.3390/app13085000
https://doaj.org/article/dea1e5f5bebc4605896138ad3bfe67df

المؤلفون: Xiaochang Wu, Xiaolin Tian

المصدر: Applied Sciences; Volume 10; Issue 15; Pages: 5032

مصطلحات موضوعية: adaptive generative adversarial network, cardiac segmentation, X-ray chest radiograph, generative adversarial network, segmentation

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/app10155032

الاتاحة: https://doi.org/10.3390/app10155032

المؤلفون: Dan Gower Wootton, Charles Feldman

المصدر: Pneumonia, Vol 5, Iss 0, Pp 1-7 (2014)

مصطلحات موضوعية: pneumonia, chest x-ray, chest radiograph, diagnostic criteria, clinical diagnosis, Diseases of the respiratory system, RC705-779

وصف الملف: electronic resource

Relation: https://pneumonia.org.au/index.php/pneumonia/article/view/464; https://doaj.org/toc/2200-6133

URL الوصول: https://doaj.org/article/1bfcc6335767434ba05f25e84614f389

Additional Titles: Deep Learning für klinische Entscheidungsunterstützungssysteme in der Thoraxradiographie

المؤلفون: Lasser, Tobias (Priv.-Doz. Dr.), Lasser, Tobias (Priv.-Doz. Dr.);Ingrisch, Michael (Prof. Dr.);Després, Philippe (Prof., Ph.D.), Wollek, Alessandro Benjamin

مصطلحات الفهرس: info:eu-repo/classification/ddc/530, Physik, info:eu-repo/classification/ddc/610, Medizin und Gesundheit, Deep Learning, Chest X-ray, Chest Radiograph, CNN, Image Classification, Labeling, thesis, doc-type:doctoralThesis

URL: https://mediatum.ub.tum.de/1712565
https://mediatum.ub.tum.de/doc/1712565/document.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20231025-1712565-1-4