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README.md

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 # Neural_Networks_Project 
 The name of the project is the following: Augmenting Convolutional Networks with Attention-based Aggregation for Breast Cancer Detection.
-
-This is the final project for the course of Neural Networks 2021/2022 at Sapienza University of Rome.
-
+This is the final project for the course of Neural Networks 2021/2022 held by professors Aurelio Uncini and Danilo Comminiello, at Sapienza University of Rome.
 >Student: Filippo Betello Mat: `1835108`;
 >
 >Student: Federico Carmignani Mat: `1845479`;
 
 ## 📝 Assignment
-
-1.	Reimplement the network architecture in the Paper [Link 🔗](https://arxiv.org/abs/2112.13692) for Image Classification on CIFAR10.
+1.	Reimplement the network architecture in the [Paper](https://arxiv.org/abs/2112.13692) for Image Classification on CIFAR10.
 2.  Apply this innovative architecture to Breast Cancer Detection.
 
 ## 💾 Dataset
+-   [CIFAR10](https://www.cs.toronto.edu/~kriz/cifar.html)
+-   Kaggle Dataset for Breast Histopathology Images [Link 🔗](https://www.kaggle.com/datasets/paultimothymooney/breast-histopathology-images)
 
--   CIFAR10 [Link 🔗](https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz)
-
-## 📜 Report
-
--   power point presentation ()
--   paper [Link 🔗]()
+## 📜 Results
+For CIFAR10 dataset results are very good: <br><br>
+<img src="src/mio duck.png" width="400" allign=center/> <br><br>
+For the Kaggle dataset we obtained 87.95% of accuracy: <br><br>
+<img src="src/breast_2.png" width="400" allign=center/> <br><br>
+This work can be found in the [PDF report](./Neural_network_project_BETELLO_CARMIGNANI.pdf) and in the [PPT] presentation(./PPT_NN.pptx).>br><br>
 
-    In these files you can read more about the code and the result of the project.
-
-## 💯 Final score:
-
-Score: `30L`
+We noticed that in this last image we couldn't know if the attention map created was highlighting the correct patch of the image or not, so we decided to use another [dataset](https://wiki.cancerimagingarchive.net/display/Public/CBIS-DDSM) where the ground trouth were provided:
+<img src="src/Mass-Training_P_00001_LEFT_CC (1).png" width="600" allign=left/> <br><br>
+This last step is currently under developing by professor Comminiello and one of his PhD students. [Here](./NN_last_report.pdf) you can find an abstract.
 
 ## 🙋 Info
-
-for any doubt or clarification contact us on:
-
--   send an email at: [email protected] or [email protected]
+For any doubt or clarification send an email at: [email protected] or [email protected].