دورية أكاديمية
Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning
| العنوان: | Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning |
|---|---|
| المؤلفون: | Rufaida, Syahidah Izza, Putra, Tryan Aditya, Leu, Jenq-Shiou, Song, Tian, Katayama, Takafumi |
| المساهمون: | Taiwan University of Science and Technology (TAIWAN TECH) and Tokushima University (TU) Joint Research Program |
| المصدر: | IEEE Access ; volume 11, page 79838-79850 ; ISSN 2169-3536 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1109/access.2023.3299819 |
| الإتاحة: | https://doi.org/10.1109/access.2023.3299819Test http://xplorestaging.ieee.org/ielx7/6287639/10005208/10196449.pdf?arnumber=10196449Test |
| حقوق: | https://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.7261DAC1 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/access.2023.3299819 |
|---|