Trained Neural Network Models of ''Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis''

Name: Trained Neural Network Models of ''Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis''
Creator: Fabi Prezja
Published: 2024-01-16T15:29:12.133Z
Keywords: Osteoarthritis, Computer Imaging, Deep Learning

Prezja, Fabi; Annala, Leevi; Kiiskinen, Sampsa; Ojala, Timo

doi:10.17632/h5s4m9f4yt.1

Trained Neural Network Models of ''Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis''

Published: 16 January 2024| Version 1 | DOI: 10.17632/h5s4m9f4yt.1

Contributors:

Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Timo Ojala

Description

This repository encompasses the fully trained deep learning models from https://www.mdpi.com/1999-4893/17/1/8. These models are available in the h5 file format. To load these models effectively, users must have TensorFlow/Keras installed and be running Python version 7.5 or higher.

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Trained Neural Network Models of ''Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis''

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