From 85626ad3d5127d6209cc7ce42a62e8dab371eb34 Mon Sep 17 00:00:00 2001 From: Filippo Betello <91533406+FilippoBetello@users.noreply.github.com> Date: Tue, 20 Sep 2022 15:49:08 +0200 Subject: [PATCH 1/9] Update README.md --- README.md | 22 ++++++---------------- 1 file changed, 6 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 45c501f..c05bbbb 100644 --- a/README.md +++ b/README.md @@ -1,34 +1,24 @@ # 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 +## 📜 Results +For CIFAR10 dataset results are very good: -- power point presentation () -- paper [Link 🔗]() - In these files you can read more about the code and the result of the project. - -## 💯 Final score: - -Score: `30L` ## 🙋 Info for any doubt or clarification contact us on: - - send an email at: carmignani.1845479@studenti.uniroma1.it or betello.1835108@studenti.uniroma1.it From 55f7e633756d9ab5be714bac613597a22f1b6fc5 Mon Sep 17 00:00:00 2001 From: Filippo Betello <91533406+FilippoBetello@users.noreply.github.com> Date: Tue, 20 Sep 2022 15:49:36 +0200 Subject: [PATCH 2/9] Delete Recap NN.xlsx --- Recap NN.xlsx | Bin 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+

+For the Kaggle dataset we obtained 87.95% of accuracy:

+

+This work can be found in the [PDF report](./Neural_network_project_BETELLO_CARMIGNANI.pdf) and in the [PPT] presentation(./PPT_NN.pptx).>br>
+We notice that in this last image we didn't know if the attention map created was highlighting the correct patch of the image, so we decide to use another [dataset](https://wiki.cancerimagingarchive.net/display/Public/CBIS-DDSM) where the ground trouth are provided: +

+This last step is currently under developing by professor Comminiello and one of his PhD students. [Here](link) you can find an abstract. ## 🙋 Info -for any doubt or clarification contact us on: -- send an email at: carmignani.1845479@studenti.uniroma1.it or betello.1835108@studenti.uniroma1.it +for any doubt or clarification send an email at: carmignani.1845479@studenti.uniroma1.it or betello.1835108@studenti.uniroma1.it. 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