H11-M10.zip
From the dataset abstract
本計畫團隊開發 PathGenIC 的主要目的是提升病理報告生成的效率與準確性,透過多模態 In-Context Learning(ICL)技術,模擬病理醫師「參考相似案例後再撰寫報告」的實務流程,減少人工負擔並輔助年輕醫師進行診斷學習與報告撰寫。 本 AI 系統可望解決以下社會問題: ...
Source: H11-M10_基於視覺與語言模型對比式訓練的零樣本學習方法
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 31, 2025 |
| Metadata last updated | September 30, 2025 |
| Created | September 30, 2025 |
| Format | application/zip |
| License | Other (Non-Commercial) |
| created | 1 month ago |
| format | ZIP |
| id | 9b96813a-57fd-4e51-8c93-4bdb14986767 |
| last modified | 21 days ago |
| md5 | 8297307b3b1b23eee09fc417312acd84 |
| mimetype | application/zip |
| on same domain | True |
| package id | baa723d2-0be0-4d61-8b7b-ef3cfda1430e |
| proxy url | https://scidm.nchc.org.tw/en/dataset/baa723d2-0be0-4d61-8b7b-ef3cfda1430e/resource/9b96813a-57fd-4e51-8c93-4bdb14986767/nchcproxy/H11-M10.zip |
| revision id | 86b04d07-6012-4628-a1f6-22542da36425 |
| sha256 | f24e9137c1779463e89463a9bebf3b8a5e92a2862edc7f332592a452c1138bdd |
| size | 311.9 KiB |
| state | active |
| url type | upload |
推薦資料集:

