<- Back to Datasets

FALLMUD

FAscicle Lower Leg Muscle Ultrasound Dataset

FALLMUD

FAscicle Lower Leg Muscle Ultrasound Dataset is a dataset composed of 812 ultrasound images of lower leg muscles to analyze muscle weaknesses and prevent injuries. It combines the datasets provided by two articles, “Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks” published by Ryan Cunningham et al. and “Automated Analysis of Musculoskeletal Ultrasound Images Using Deep Learning” published by Neil Cronin, with complementary annotations. The dataset has been introduced in this paper: Michard, H., Luvison, B., Pham, Q. C., Morales-Artacho, A. J., & Guilhem, G. (2021, August). AW-Net: automatic muscle structure analysis on B-mode ultrasound images for injury prevention. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 1-9).

View this Dataset
->
Université Paris
https://u-paris.fr/en/
Task
Semantic Segmentation
Annotation Types
3D Point Cloud
812
Items
20
Classes
812
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC BY-NC
Label your own datasets on V7
Try our trial or talk to one of our experts.