H11-M126.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 | 7 months ago |
| format | ZIP |
| id | ff70a5de-eaa2-460a-8523-d85641845245 |
| last modified | 7 months ago |
| md5 | 47a8a908b48ed762ce347429cb02aaff |
| mimetype | application/zip |
| package id | 32479580-a212-455f-86d3-de12322f3057 |
| position | 1 |
| proxy url | https://scidm.nchc.org.tw/en/dataset/32479580-a212-455f-86d3-de12322f3057/resource/ff70a5de-eaa2-460a-8523-d85641845245/nchcproxy/H11-M126.zip |
| revision id | 9cd0daf4-fe4e-4188-ad02-cb15d92b59c0 |
| sha256 | 14b09251b49302a11a771f1af950a8ae8bc3dd5cf7c905b099acade821eb0124 |
| size | 2.5 MiB |
| state | active |
| url type | upload |
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