Electronic Resource
Deep Learning Approaches Applied to Image Classification of Renal Tumors: A Systematic Review
العنوان: | Deep Learning Approaches Applied to Image Classification of Renal Tumors: A Systematic Review |
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المؤلفون: | Pathologie Pathologen staf, Cancer, Pathologie Groep Van Diest, Amador, Sandra, Beuschlein, Felix, Chauhan, Vedant, Favier, Judith, Gil, David, Greenwood, Phillip, de Krijger, R. R., Kroiss, Matthias, Ortuño-Miquel, Samanta, Patocs, Attila, Stell, Anthony, Walch, Axel |
بيانات النشر: | Springer Netherlands 2024-03 |
نوع الوثيقة: | Electronic Resource |
URL: | 1134-3060 Archives of Computational Methods in Engineering 31 2 615 622 |
الاتاحة: | Open access content. Open access content Open Access (free) |
ملاحظة: | English |
Other Numbers: | QGJ oai:dspace.library.uu.nl:1874/451807 Amador , S , Beuschlein , F , Chauhan , V , Favier , J , Gil , D , Greenwood , P , de Krijger , R R , Kroiss , M , Ortuño-Miquel , S , Patocs , A , Stell , A & Walch , A 2024 , ' Deep Learning Approaches Applied to Image Classification of Renal Tumors : A Systematic Review ' , Archives of Computational Methods in Engineering , vol. 31 , no. 2 , pp. 615-622 . https://doi.org/10.1007/s11831-023-09995-w URN:NBN:NL:UI:10-1874-451807 364225211 1435902249 |
المصدر المساهم: | UNIVERSITEIT UTRECHT From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1435902249 |
قاعدة البيانات: | OAIster |
الوصف غير متاح. |