https://github.com/baptvit/tcc-1-unb
TCC1 UnB 2/2019 - SS - XAI techniques applied on convolutional neural network for skin lesion classification - First phase
https://github.com/baptvit/tcc-1-unb
clinical-images convolutional-neural-networks pytorch skin-lesions-classification unb xai
Last synced: 2 months ago
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TCC1 UnB 2/2019 - SS - XAI techniques applied on convolutional neural network for skin lesion classification - First phase
- Host: GitHub
- URL: https://github.com/baptvit/tcc-1-unb
- Owner: baptvit
- Created: 2019-09-18T23:10:09.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-12-11T22:09:42.000Z (over 6 years ago)
- Last Synced: 2025-01-15T10:27:02.554Z (over 1 year ago)
- Topics: clinical-images, convolutional-neural-networks, pytorch, skin-lesions-classification, unb, xai
- Language: Jupyter Notebook
- Homepage:
- Size: 205 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# TCC 1 UnB
## Universidade de Brasília - UnB
## Faculdade UnB Gama - FGA
## Electronic Engineering
### XAI techniques applied on convolutional neural network for skin lesion classification - First phase
#### Author: João Vitor Rodrigues Baptista
#### Advisor: Dr. Nilton Correia da Silva
## Usage
This is a academic project so if you want to replicate or use any code. Just cite this work.
```
@misc{jvrbaptista,
author = {Baptista, João and Silva, Nilton},
title = {XAI techniques applied on convolutional neural network for skin lesion classification},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/helpthx/TCC-1-UnB}},
}
```
## How to replicate
Just follow the steps write on the [paper](https://github.com/helpthx/TCC-1-UnB/tree/master/text)
Follow this pipeline with the notebooks provide above.
