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@@ -17,7 +17,7 @@ We present our results for applying the *BreastScreening-AI* framework in two co
On the next animation, we present a demo of the prototypes:
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These *results* are representing the pieces of information of both [BreastScreening](https://BreastScreening.github.io) and [MIDA](https://mida-project.github.io) projects. These projects are research projects that deal with the use of a recently proposed technique in literature: [Deep Convolutional Neural Networks (CNNs)](https://en.wikipedia.org/wiki/Convolutional_neural_network). From a developed User Interface (UI) and *framework*, these deep networks will incorporate [several datasets](https://github.com/MIMBCD-UI/meta/wiki/Datasets) in different modes. You can find the [deployed prototypes](https://github.com/MIMBCD-UI/meta-private/blob/master/wiki/Technical.md#deployment-prototypes) on the [`Technical.md`](https://github.com/MIMBCD-UI/meta-private/blob/master/wiki/Technical.md#deployment-prototypes) file of the [`meta-private`](https://github.com/MIMBCD-UI/meta-private) repository. More information about the study is also available on the [`User-Research.md`](https://github.com/MIMBCD-UI/meta-private/blob/master/wiki/User-Research.md#test-11-assertive-and-non-assertive-introduction-) file of this [`meta-private`](https://github.com/MIMBCD-UI/meta-private) repository. Unfortunately, you need to be a member of our team to access the restricted information. We also have several demos to see in our [YouTube Channel](https://www.youtube.com/channel/UCPz4aTIVHekHXTxHTUOLmXw), please follow us.