GitHub - merkuriospam/TP-Final-PJML-II: Uso de redes neuronales convolucionales profundas (Deep Convolutional Neural Networks, DCNNs) como ResNet y RNC junto con la técnica de segmentación con ResUNet, para detectar y localizar patrones específicos. Taller intensivo donde la inteligencia artificial puede ayudar de manera efectiva el análisis de imágenes y la detección de patrones.

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Uso de redes neuronales convolucionales profundas (Deep Convolutional Neural Networks, DCNNs) como ResNet y RNC junto con la técnica de segmentación con ResUNet, para detectar y localizar patrones específicos. Taller intensivo donde la inteligencia artificial puede ayudar de manera efectiva el análisis de imágenes y la detección de patrones.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
dataset		dataset
.gitattributes		.gitattributes
.gitignore		.gitignore
Entrenamientos.z01		Entrenamientos.z01
Entrenamientos.z02		Entrenamientos.z02
Entrenamientos.z03		Entrenamientos.z03
Entrenamientos.z04		Entrenamientos.z04
Entrenamientos.z05		Entrenamientos.z05
Entrenamientos.zip		Entrenamientos.zip
LICENSE		LICENSE
Notebook.ipynb		Notebook.ipynb
ResUNet-MRI.json		ResUNet-MRI.json
ResUNet-model.json		ResUNet-model.json
classifier-resnet-model.json		classifier-resnet-model.json
requirements.txt		requirements.txt
resnet-50-MRI.json		resnet-50-MRI.json
utilities.py		utilities.py

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MIT License

Copyright (c) 2023 mlacheski

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