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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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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Other Information
Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk

local : UQ:283c254

Naranpanawa, Nathasha, Jayasinghe, Dilki, Sturm, Richard A., Betz-Stablein, Brigid, Janda, Monika, Eriksson, Anders, Soyer, H. Peter and Chandra, Shekhar S. (2024). Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk. Journal of Investigative Dermatology. doi: 10.1016/j.jid.2024.04.029

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local : UQ:289097

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