Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Classification of Bones

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...

Fractures: Bone Repair

Fractures: Bone Repair

Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...

X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...

X-ray Crystallography

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...

Imaging Studies for Cardiovascular System III: X-Ray

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...

Classification of Titrimetric Analysis Based on Reaction Types

Classification of Titrimetric Analysis Based on Reaction Types

Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Multimodal Fusion of Endoscopic and Histopathological Images for Lesion Detection Using Hybrid Deep Learning.

Current medical imaging·2026

Same author

Modeling of solid oxide fuel cells and optimal parameter extraction at various operating data using an optimization method.

PloS one·2026

Same author

Efficient wavelet-based optical image dehazing technique.

Applied optics·2026

Same author

Zingerone attenuates steatosis via downregulation of AQP9 in hepatocytes.

Naunyn-Schmiedeberg's archives of pharmacology·2026

Same author

XceptRf-Net: A Novel Deep Learning and Machine Learning Approach for Pneumonia Diagnosis.

Current medical imaging·2026

Same author

Artificial Intelligence Integrated Smart Medical Imaging Lab Framework for Enhanced Diagnosis and Treatment of Pandemic-Prone Diseases.

Health science reports·2026

Search research articles

Related Experiment Video

Updated: Jan 28, 2026

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

A transfer learning-based approach for automated bone fracture classification in X-ray imaging.

Ruchika Bhuria¹, Sheifali Gupta¹, Rania M Ghoniem²

¹Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.

Therapeutic Advances in Musculoskeletal Disease

|January 26, 2026

Summary

This study introduces EnsembleAttenBoneNet, an advanced deep learning model for classifying bone fractures in X-ray images. The model achieved 99.48% accuracy, significantly improving diagnostic precision for fracture detection.

Keywords:

EfficientNetB3 ResNet50 attention mechanism bone fracture classification deep learning fracture detection medical image analysis

More Related Videos

The Generation of Closed Femoral Fractures in Mice: A Model to Study Bone Healing

The Generation of Closed Femoral Fractures in Mice: A Model to Study Bone Healing

Published on: August 16, 2018

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

Related Experiment Videos

Last Updated: Jan 28, 2026

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Assessment of Bone Fracture Healing Using Micro-Computed Tomography

Published on: December 9, 2022

The Generation of Closed Femoral Fractures in Mice: A Model to Study Bone Healing

The Generation of Closed Femoral Fractures in Mice: A Model to Study Bone Healing

Published on: August 16, 2018

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

Area of Science:

Medical Imaging
Artificial Intelligence
Orthopedics

Background:

Accurate bone fracture classification is crucial in medical imaging.
Deep learning offers enhanced diagnostic precision and reduced human error.

Purpose of the Study:

To propose EnsembleAttenBoneNet, an ensemble deep learning model for bone fracture classification.
To improve the accuracy and robustness of fracture detection in X-ray images.

Main Methods:

An ensemble model combining ResNet50 and EfficientNetB3 with a Squeeze-and-Excitation (SE) attention mechanism was developed.
Preprocessing included resizing, normalization, and augmentation for improved generalization.
Features were extracted, concatenated, and refined using the SE attention module.

Main Results:

The EnsembleAttenBoneNet model achieved a classification accuracy of 99.48%.
This performance surpassed individual models: EfficientNetB3 (98.56%) and ResNet50 (97.86%).

Conclusions:

Integrating deep learning with attention mechanisms significantly enhances diagnostic accuracy for bone fractures.
The model shows promise as a valuable tool for clinical fracture detection.
Future work includes dataset expansion and real-world validation.