Interpretable Classification of Myositis from Muscle Ultrasound Images
Author:
Affiliation:
1. College of Information Science & Technology, University of Nebraska at Omaha, USA
2. School of Medicine, Neurology, Creighton University, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3673971.3673988
Reference22 articles.
1. AK Arunkarthick and Srinivasa Reddy. 2023. Prediction of myositis disease using machine learning algorithm. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 534–539.
2. Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods
3. Enrique J deAndrés Galiana, Francisco Javier Fernández-Ovies, Ana Cernea, Juan Luis Fernández-Martínez, and Andrzej Kloczkowski. 2020. Deep neural networks for phenotype prediction in rare diseases: Inclusion body myositis: A case study. In Artificial Intelligence in Precision Health. Elsevier, 189–202.
4. Inclusion Body Myositis
5. Describing ultrasound video content using deep convolutional neural networks
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