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Part 1: Document Description
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Citation |
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Title: |
An accurate pediatric bone age prediction model using deep learning and contrast conversion |
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Identification Number: |
doi:10.7910/DVN/NMUR8X |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-05-03 |
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Version: |
1 |
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Bibliographic Citation: |
Dong Hyeok Choi, So Hyun Ahn, Rena Lee, 2024, "An accurate pediatric bone age prediction model using deep learning and contrast conversion", https://doi.org/10.7910/DVN/NMUR8X, Harvard Dataverse, V1 |
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Citation |
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Title: |
An accurate pediatric bone age prediction model using deep learning and contrast conversion |
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Identification Number: |
doi:10.7910/DVN/NMUR8X |
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Authoring Entity: |
Dong Hyeok Choi, So Hyun Ahn, Rena Lee |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
So Hyun Ahn |
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Depositor: |
Kim, Yeonwook |
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Date of Deposit: |
2024-05-03 |
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Holdings Information: |
https://doi.org/10.7910/DVN/NMUR8X |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences |
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Abstract: |
Dataset 1. 2017 RSNA AI Pediatric Bone Age Challenge. Available from: https://www.rsna.org/rsnai/ai-image-challenge/RSNA-Pediatric-Bone-Age-Challenge-2017 Dataset 2. The datasets generated during and/or analyzed during the current study |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Boneage_contrast.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
Boneage_model.ipynb |
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Notes: |
application/x-ipynb+json |