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Evaluation of segmentation accuracy and the improvement of time effectiveness using deep learning-based segmentation in 177Lu-DOTATATE dosimetry.

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Title: Evaluation of segmentation accuracy and the improvement of time effectiveness using deep learning-based segmentation in 177Lu-DOTATATE dosimetry.
Authors: Nakaichi, Tetsu1,2 (AUTHOR), Shimizu, Yuhei3 (AUTHOR), Nakamura, Satoshi1,2,4 (AUTHOR) satonaka@ncc.go.jp, Shuto, Yasunori1,3,5 (AUTHOR), Kasai, Yusaku3,4 (AUTHOR), Shishido, Atsushi3 (AUTHOR), Kunito, Kouji6 (AUTHOR), Nakayama, Hiroki1 (AUTHOR), Takemori, Mihiro7,8 (AUTHOR), Kawamura, Masashi3 (AUTHOR), Chiba, Takahito1,9 (AUTHOR), Okamoto, Hiroyuki1 (AUTHOR), Kashihara, Tairo2,8 (AUTHOR), Igaki, Hiroshi2,8 (AUTHOR), Ito, Kimiteru10 (AUTHOR)
Source: EJNMMI Physics. 5/24/2026, Vol. 13 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Evaluation of segmentation accuracy and the improvement of time effectiveness using deep learning-based segmentation in <superscript>177</superscript>Lu-DOTATATE dosimetry.
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  Data: <searchLink fieldCode="JN" term="%22EJNMMI+Physics%22">EJNMMI Physics</searchLink>. 5/24/2026, Vol. 13 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194162294
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