Trained NAS Models from "Augmenting Pre-trained Deep Vision Models for Radiographic Knee Osteoarthritis Classification without Base Model Retraining"

Name: Trained NAS Models from "Augmenting Pre-trained Deep Vision Models for Radiographic Knee Osteoarthritis Classification without Base Model Retraining"
Creator: Fabi Prezja
Published: 2025-09-05T18:15:39.973Z
Keywords: Osteoarthritis, Deep Learning

Prezja, Fabi; Nieminen, Paavo; Lahtinen, Suvi; Ojala, Timo; Annala, Leevi

doi:10.17632/dcm7jwyd3z.1

Trained NAS Models from "Augmenting Pre-trained Deep Vision Models for Radiographic Knee Osteoarthritis Classification without Base Model Retraining"

Published: 5 September 2025| Version 1 | DOI: 10.17632/dcm7jwyd3z.1

Contributors:

Fabi Prezja, Paavo Nieminen, Suvi Lahtinen, Timo Ojala, Leevi Annala

Description

This repository contains the fully trained Neural Architecture Search (NAS) Models featured in the paper titled "Augmenting Pre-trained Deep Vision Models for Radiographic Knee Osteoarthritis Classification without Base Model Retraining." The paper's link will be added once it is announced. To load these models effectively, users must have TensorFlow/Keras installed and be running Python version 3.7 or higher.

Trained NAS Models from "Augmenting Pre-trained Deep Vision Models for Radiographic Knee Osteoarthritis Classification without Base Model Retraining"

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