دورية أكاديمية
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours
| العنوان: | Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours |
|---|---|
| المؤلفون: | Brinker, Titus J., Kiehl, Lennard, Schadendorf, Dirk, Hekler, Achim, Fröhling, Stefan, Kather, Jakob Nikolas, Haggenmüller, Sarah, von Kalle, Christof, Heppt, Markus, Hilke, Franz, Ghoreschi, Kamran, Tiemann, Markus, Schmitt, Max, Wehkamp, Ulrike, Hauschild, Axel, Weichenthal, Michael, Utikal, Jochen S., Jutzi, Tanja B., Krieghoff-Henning, Eva I., Krahl, Dieter, Kutzner, Heinz, Gholam, Patrick, Haferkamp, Sebastian, Klode, Joachim |
| المصدر: | European journal of cancer 154, 227-234 (2021). doi:10.1016/j.ejca.2021.05.026 |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2021 |
| المجموعة: | RWTH Aachen University: RWTH Publications |
| جغرافية الموضوع: | DE |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/pmid:34298373; info:eu-repo/semantics/altIdentifier/wos/WOS:000686049700027; info:eu-repo/semantics/altIdentifier/issn/0014-2964; info:eu-repo/semantics/altIdentifier/issn/0959-8049; info:eu-repo/semantics/altIdentifier/issn/1879-2995; info:eu-repo/semantics/altIdentifier/issn/1879-0852; https://publications.rwth-aachen.de/record/851433Test; https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-248521%22Test |
| الإتاحة: | https://doi.org/10.1016/j.ejca.2021.05.026Test https://doi.org/10.18154/RWTH-CONV-248521Test https://publications.rwth-aachen.de/record/851433Test https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-248521%22Test |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.937E601E |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |