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Part 1: Document Description
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Citation |
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Title: |
Ex-vivo Bronchoscopic Images for Visual Navigation |
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Identification Number: |
doi:10.7910/DVN/8MNI49 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-11-29 |
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Version: |
2 |
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Bibliographic Citation: |
Banach, Artur, 2022, "Ex-vivo Bronchoscopic Images for Visual Navigation", https://doi.org/10.7910/DVN/8MNI49, Harvard Dataverse, V2 |
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Citation |
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Title: |
Ex-vivo Bronchoscopic Images for Visual Navigation |
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Identification Number: |
doi:10.7910/DVN/8MNI49 |
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Authoring Entity: |
Banach, Artur (Harvard University) |
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Producer: |
Artur Banach |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Banach, Artur |
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Depositor: |
Banach, Artur |
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Date of Deposit: |
2022-11-28 |
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Holdings Information: |
https://doi.org/10.7910/DVN/8MNI49 |
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Study Scope |
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Keywords: |
Engineering, Medicine, Health and Life Sciences |
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Abstract: |
Ex-vivo training and testing datasets for the 3cGAN bronchoscopic depth estimation model. Details on how the dataset was collected and deployed can be found in the publication. |
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Notes: |
Downloaded datasets should to be placed in the corresponding locations of the model available on GitHub: https://github.com/SNRLab/Visually_Navigated_Bronchoscopy - .../3cGAN/data/Testing - .../3cGAN/data/Training |
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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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Related Publications |
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Citation |
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Bibliographic Citation: |
Banach et al. "Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation", Med. Image Anal. 73, 102164 (2021) |
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Label: |
ex-vivo-testing.7z |
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Notes: |
application/x-7z-compressed |
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Label: |
ex-vivo-training.7z |
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Notes: |
application/x-7z-compressed |