Data

Pigmented Iris Freckle Data

The University of Queensland
Associate Professor Rick Sturm (Aggregated by) Associate Professor Rick Sturm (Aggregated by) Dr Shakes Chandra (Aggregated by) Dr Shakes Chandra (Aggregated by) Mrs Nathasha Naranpanawa (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/355ad45&rft.title=Pigmented Iris Freckle Data&rft.identifier=10.48610/355ad45&rft.publisher=The University of Queensland&rft.description=Contains the pigmented iris freckle counts on digital iris images by human experts and Slim-YOLO neural network, and phenotypic data of study participants.&rft.creator=Associate Professor Rick Sturm&rft.creator=Associate Professor Rick Sturm&rft.creator=Dr Shakes Chandra&rft.creator=Dr Shakes Chandra&rft.creator=Mrs Nathasha Naranpanawa&rft.date=2024&rft_rights=2024, The University of Queensland&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Computer Vision and Pattern Recognition&rft_subject=Artificial Intelligence&rft_subject=Dermatology&rft_subject=Melanoma&rft_subject=Pigmented Iris Freckles&rft_subject=Deep Neural Networks&rft_subject=Iris freckle detection&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Biomedical imaging&rft_subject=Biomedical engineering&rft_subject=ENGINEERING&rft_subject=Neural networks&rft_subject=Machine learning&rft_subject=Image Processing&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Image processing&rft_subject=Computer vision and multimedia computation&rft_subject=Computer Vision&rft_subject=Computer vision&rft_subject=Dermatology&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=CLINICAL SCIENCES&rft_subject=Dermatology&rft_subject=Clinical sciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Contains the pigmented iris freckle counts on digital iris images by human experts and Slim-YOLO neural network, and phenotypic data of study participants.

Issued: 2024

Data time period: 10 2019 to 10 2023

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Subjects
Artificial Intelligence and Image Processing | Artificial Intelligence | Artificial Intelligence | Biomedical and Clinical Sciences | Biomedical Engineering | Biomedical Imaging | Clinical Sciences | Clinical Sciences | Computer Vision | Computer Vision and Pattern Recognition | Computer Vision | Computer Vision and Multimedia Computation | Deep Neural Networks | Dermatology | Dermatology | Dermatology | Engineering | Information and Computing Sciences | Information and Computing Sciences | Image Processing | Image Processing | Iris freckle detection | Medical and Health Sciences | Machine Learning | Melanoma | Neural Networks | Pigmented Iris Freckles | eng |

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