code.zip
From the dataset abstract
因數位病理影像尺寸巨大，病理醫師人為檢視與精確標註極為耗時，本AI目標是開發在只有少量精細標註的資料下，充分利用影像資訊，使訓練後的 AI 模型可達到比肩甚至更勝於傳統訓練方式的效果，並提供醫師診斷時的輔助參考資訊。
Source: H11-M126_肝脂肪變性分割模型
Additional Information
| Field | Value |
|---|---|
| Data last updated | September 30, 2025 |
| Metadata last updated | September 30, 2025 |
| Created | September 30, 2025 |
| Format | application/zip |
| License | Other (Non-Commercial) |
| created | 2 months ago |
| format | ZIP |
| id | 1e513e99-af1c-4107-b89e-634070729fbd |
| last modified | 2 months ago |
| md5 | e194bbb2a8d4eb631aabe24609d27eac |
| mimetype | application/zip |
| on same domain | True |
| package id | 32479580-a212-455f-86d3-de12322f3057 |
| proxy url | https://scidm.nchc.org.tw/en/dataset/32479580-a212-455f-86d3-de12322f3057/resource/1e513e99-af1c-4107-b89e-634070729fbd/nchcproxy/code.zip |
| revision id | 8c1d582c-e791-44ac-a9a4-1276a921d244 |
| sha256 | fc74fa544544ea82f30f264e48fbef09933f4aa53e9ee2345013da6fb5625692 |
| size | 100.7 MiB |
| state | active |
| url type | upload |
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