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Overcoming the interobserver variability in lung adenocarcinoma subtyping: A clustering approach to establish a ground truth for downstream applications
http://hdl.handle.net/10069/00041833
http://hdl.handle.net/10069/00041833f5c6957e-098f-4663-b5ec-2a3a2304cc7d
名前 / ファイル | ライセンス | アクション |
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ishiyaku1467ronbun.pdf (172.4 kB)
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ishiyaku1467sinsa.pdf (59.6 kB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2022-10-27 | |||||
タイトル | ||||||
タイトル | Overcoming the interobserver variability in lung adenocarcinoma subtyping: A clustering approach to establish a ground truth for downstream applications | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
資源タイプ | thesis | |||||
著者 |
LAMI, KRIS
× LAMI, KRIS |
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内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 長崎大学学位論文 [学位記番号]博(医歯薬)甲第1467号 [学位授与年月日]令和4年9月16日 | |||||
書誌情報 | 発行日 2022-09-16 | |||||
その他のタイトル | ||||||
その他のタイトル | 肺腺癌亜型における診断者間不一致の克服:クラスター解析によるAI用正解データの構築 | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2022-09-16 | |||||
引用 | ||||||
内容記述タイプ | Other | |||||
内容記述 | (2022-09-16) |