H11-M103_DOC.zip
From the dataset abstract
使用對比式聚類的弱監督學習方式，從不精確標註資料取得更詳細的標註資訊，透過區塊方式訓練胰臟管線癌的辨識模型。模型會以影像分割方式取得胰臟腺癌區域。
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 11, 2023 |
| Metadata last updated | October 11, 2023 |
| Created | October 11, 2023 |
| Format | application/zip |
| License | 01 政府資料開放授權 |
| created | over 2 years ago |
| format | ZIP |
| id | ee184625-e65a-4af2-92ae-78ccdb500101 |
| last modified | over 2 years ago |
| md5 | c93f2c08dc057c04e2fda60abb1ca31d |
| mimetype | application/zip |
| package id | 6eae7e4c-2c48-43a6-9e08-ec0179f41621 |
| position | 1 |
| proxy url | https://scidm.nchc.org.tw/en/dataset/6eae7e4c-2c48-43a6-9e08-ec0179f41621/resource/ee184625-e65a-4af2-92ae-78ccdb500101/nchcproxy/H11-M103_DOC.zip |
| revision id | dd6ab1e2-f802-4fdc-a868-5189b92f9fc0 |
| sha256 | 5c4fc794e3829d872d85a64809938eb2e521c0166707274e952d99194c55463e |
| size | 2.3 MiB |
| state | active |
| url type | upload |
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