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博士論文

Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy

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Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy

Persistent ID (NDL)
info:ndljp/pid/13803353
Material type
博士論文
Author
佐野, 寿郎
Publisher
MDPI
Publication date
2024-06-05
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
Nagasaki University (長崎大学),博士(医学)
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長崎大学学位論文 学位記番号:博(医歯薬)甲第1617号 学位授与年月日:令和6年6月5日Hisao Sano, Ethan N. Okoshi, Yuri Tachibana,Tomonori Tanaka, Kris Lami, Wataru Uegami, Yoshio Ohta, Luka ...

Detailed bibliographic record

Summary, etc.:

Background: When obtaining specimens from pulmonary nodules in TBLB, distinguishing between benign samples and mis-sampling from a tumor presents a ch...

Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
佐野, 寿郎
Author Heading
Publication, Distribution, etc.
Publication Date
2024-06-05
16 4
Publication Date (W3CDTF)
2024-06-05
Alternative Title
気管支肺生検の診断上の課題に対処するための機械学習ベースの分類モデル
Degree grantor/type
Nagasaki University (長崎大学)
Date Granted
2024-06-05