Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mohd Hafiz Arzmi | - |
| dc.date.accessioned | 2024-06-25T03:16:14Z | - |
| dc.date.available | 2024-06-25T03:16:14Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10305 | - |
| dc.description.abstract | In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Artificial intelligence Medical applications | Trí tuệ nhân tạo Ứng dụng y tế | vi |
| dc.title | Deep learning in cancer diagnostics : a feature-based transfer learning evaluation | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | 1-Trí tuệ nhân tạo | |
Files in This Item:
