Artificial intelligence for segmentation of bladder tumor cystoscopic images performed by U-Net with dilated convolution

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Artificial intelligence for segmentation of bladder tumor cystoscopic images performed by U-Net with dilated convolution

Persistent ID (NDL): info:ndljp/pid/12966404

Material type: 博士論文

Author: 牟田口, 淳

Publisher: 牟田口, 淳

Publication date: 2022

Material Format: Digital

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Name of awarding university/degree: 九州大学,博士(医学)

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Material Type: 博士論文
Title: Artificial intelligence for segmentation of bladder tumor cystoscopic images performed by U-Net with dilated convolution
Author/Editor: 牟田口, 淳
Publication, Distribution, etc.: 牟田口, 淳
Publication Date: 2022
Publication Date (W3CDTF): 2022
Alternative Title: 拡張畳み込み層を用いたU-Netによる膀胱内視鏡画像における人工知能セグメンテーション
Degree grantor/type: 九州大学
Date Granted: 2022-04-30
Date Granted (W3CDTF): 2022-04-30
Dissertation Number: 甲第16186号
Degree Type: 博士(医学)
Text Language Code: eng
Alias of Author: Mutaguchi, Jun
DOI: 10.1089/end.2021.0483
https://doi.org/10.1089/end.2021.0483
Persistent ID (NDL): info:ndljp/pid/12966404
https://dl.ndl.go.jp/pid/12966404
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（送信）
Date Accepted (W3CDTF): 2023-08-01T08:36:12+09:00
Format (IMT): application/pdf
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