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: 2024-09-11T06:17:36.984Z
Keywords: Osteoarthritis, Computer Imaging, Deep Learning

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

doi:10.17632/h5s4m9f4yt.2

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

Published: 11 September 2024| Version 2 | DOI: 10.17632/h5s4m9f4yt.2

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 3.7 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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