Datasets Comparison
Version 1
Evaluating machine learning muscle ultrasound models on an external dataset
Description
This repository contains model weights that were fine-tuned using uploaded configs from the original muscle segmentation models from the paper "Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis" by Marzola et al. DOI:10.17632/yzg86vb895.1
The framework and idea behind this work can be found in the paper by Błaż et al. (in review)
This repository does not contain any muscle ultrasound images.
Steps to reproduce
Please follow instructions at: https://github.com/blazuu/muscle_ultrasound
Categories
Ultrasonics, Image Segmentation, Muscle Disorder, Ultrasound Imaging of the Muscles
Licence
Attribution Noncommercial 4.0 International
Version 2
Evaluating machine learning muscle ultrasound models on external data
Description
This repository contains model weights that were fine-tuned (using uploaded configs) from the original muscle segmentation models described in the paper "Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis" by Marzola et al. DOI: 10.1016/j.clinph.2025.01.016
The framework and idea behind this work can be found in the paper "Evaluating machine learning muscle ultrasound models on external data – is this the way to propagate forward?" by Błaż et al. DOI: 10.1016/j.clinph.2025.2110968
This repository does not contain any muscle ultrasound images.
Steps to reproduce
Please follow instructions at: https://github.com/blazuu/muscle_ultrasound
Institutions
Institutions
Krakowski Szpital Specjalistyczny im Jana Pawla II
Categories
Ultrasonics, Image Segmentation, Muscle Disorder, Ultrasound Imaging of the Muscles
Licence
Attribution Noncommercial 4.0 International