In this paper, a method for identifying bone fractures using machine learning algorithms is presented, which can help to lighten the workload of orthopedics.

Leveraging Synthetic Image Generation via Generative Adversarial Networks (GANs) greatly improves bone defect accuracy in diagnosis by providing diverse and vast data sets for …

Jun 1, 2023 · Methods for detecting and classifying fractures of the leg bone in x-ray images, including preprocessing, and fracture identification [10, 11]. The problem of fracture type …

The methodology in this study centers on developing and evaluating advanced DL models for the automatic detection of bone fractures using X-ray images. To accomplish this, we employed a …

This approach utilizes the strong image classification capabilities of ResNet50 to identify the type of bone and then employs a specific model for each bone to determine if there is a fracture …

This paper gives a technique to identify bone fracture using machine learning algorithms, by which workload for orthopedics can be reduced. The significant use of machine learning in this era of …

Canny Edge detection is an image processing technique that identifies bone fracture by utilizing automatic fracture detection efficiently and overcomes the question of noise reduction. There …

Jan 2, 2023 · In this paper, a method for identifying bone fractures using machine learning algorithms is presented, which can help to lighten the workload of orthopedics.

The project consists of designing an embedded platform for the identification of bone fractures. This platform uses deep learning to analyze images provided by.

AI advancements in fracture imaging applications can be divided into the categories of fracture detection, classification, segmentation, and noninterpretive tasks. Despite the potential work …