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Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.

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Title: Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.
Authors: Lin, En-Ting1, Lu, Shao-Chi1, Liu, An-Sheng1, Ko, Chia-Hsin2, Huang, Chien-Hua2, Tsai, Chu-Lin2, chulintsai@ntu.edu.tw, Fu, Li-Chen1, lichen@ntu.edu.tw
Source: Journal of Imaging Informatics in Medicine; Apr2025, Vol. 38 Issue 2, p775-792, 18p
Database: Applied Science & Technology Source
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  Data: Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10278-024-01209-4
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        Text: English
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      – TitleFull: Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.
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            NameFull: Huang, Chien-Hua
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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