Automating abnormality detection in musculoskeletal radiographs through deep learning

G Mehr - arXiv preprint arXiv:2010.12030, 2020 - arxiv.org
This paper introduces MuRAD (Musculoskeletal Radiograph Abnormality Detection tool), a
tool that can help radiologists automate the detection of abnormalities in musculoskeletal …

Hybrid Deep Learning Model for Classification and Prediction of Abnormalities in Upper and Lower Extremities of Musculoskeletal Radiographs

G Singh, P Kumar, D Anand - SN Computer Science, 2024 - Springer
Musculoskeletal disorders are a significant global public health concern, comprising various
conditions affecting the skeletal system and its associated structures. These disorders …

Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection

NG Raghunath, N Harikumar, PN Sree… - … conference on WorldS4, 2023 - Springer
Musculoskeletal disorders are conditions that affect joints, bones, muscles, and the spine.
The authors of this paper aim to investigate the use of artificial intelligence (AI), particularly …

Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs

M Rath, PSD Reddy, SK Singh - … and Capsule Networks: ICIPCN 2021 2, 2022 - Springer
Detection of abnormality in Musculoskel et al. radiographs often requires the involvement of
a radiologist but the recent advancement in deep learning technique helped us to detect …