Crowdsourcing

Invited Talk: Can Deep Learning Models be Trained with Annotations Collected via Crowdsourcing? featured image

Invited Talk: Can Deep Learning Models be Trained with Annotations Collected via Crowdsourcing?

One of the major challenges facing researchers nowadays in applying deep learning (DL) models to Medical Image Analysis is the limited amount of annotated data. Collecting such …

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Shadi Albarqouni
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Fine-Tuning Deep Learning by Crowd Participation

One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such …

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Shadi Albarqouni
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Playsourcing: a novel concept for knowledge creation in biomedical research featured image

Playsourcing: a novel concept for knowledge creation in biomedical research

Being considered as a valid solution to the lack of ground truth data problem, crowdsourcing has recently gained a lot of attention within the biomedical domain. However, available …

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Shadi Albarqouni
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Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images

The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. …

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Shadi Albarqouni
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