GitHub - nestorcalvo/Disecam: System that use LBP (Local Binary Patterns) to extract features from images taken from people with skins diseases (Melanoma and Porokeratosis). Training of a system using SVM and Random Forest to classify.

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System that use LBP (Local Binary Patterns) to extract features from images taken from people with skins diseases (Melanoma and Porokeratosis). Training of a system using SVM and Random Forest to classify.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.github/ISSUE_TEMPLATE		.github/ISSUE_TEMPLATE
.idea		.idea
BDN		BDN
M_DB.pickle		M_DB.pickle
M_DB_test.pickle		M_DB_test.pickle
Q_DB.pickle		Q_DB.pickle
Q_DB_test.pickle		Q_DB_test.pickle
convert_grayscale.py		convert_grayscale.py
extract_features.py		extract_features.py
readme.txt		readme.txt
requirements.txt		requirements.txt

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Para poder ejecutar el archivo de python sin problemas se requieren instalar ciertos paquetes, para ello
abrir la consola en la ruta base y ejecutar la siguiente linea de codigo

	pip install -r requirements.txt

Ejecutar el archivo "extract_features.py", en la consola se mostran los resultados, las imagenes utilizadas se encuentran en la carpeta BDN, separadas en test y train.

DISCLAIMER

The dataset was extracted from the following links:
	1. MELANOMA: https://www.kaggle.com/drscarlat/melanoma
	2. POROKERATOSIS: https://www.kaggle.com/nodoubttome/skin-cancer9-classesisic