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Related Concept Videos

Classification of Bones01:18

Classification of Bones

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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...
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Bones of the Upper Limb: Ulna01:15

Bones of the Upper Limb: Ulna

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The ulna and radius are parallel bones of the antebrachium or the forearm. The ulna lies medially and consists of a bony tip called the olecranon process at its proximal end. This hook-like projection articulates with the olecranon fossa of the humerus and forms the "hinged" ulnohumeral part of the elbow joint. This joint facilitates forearm extension and flexion while preventing its hyperextension. Similarly, the coronoid process, another bony projection on the proximal/anterior side...
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Bones of the Upper Limb: Radius01:09

Bones of the Upper Limb: Radius

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The radius is longer of the two bones that make up the human antebrachium or forearm. At the proximal end, the radius articulates with the capitulum of the humerus and the radial notch of the ulna to form the elbow joint. At the distal end, the radius articulates with the ulna via the ulnar notch, forming the distal radioulnar joint. Distally, the radius also attaches to the carpal wrist bones (scaphoid and lunate) to form the radiocarpal joint.
The radius has a nail-shaped head, and a...
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Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

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Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
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Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

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The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
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Related Experiment Video

Updated: Mar 18, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
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Automated Joint Space Detection Improves Bone Segmentation Accuracy

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Automated Classification of Epiphyses in the Distal Radius and Ulna using a Support Vector Machine.

Ya-Hui Wang1, Tai-Ang Liu2, Hua Wei1,3

  • 1Institute of Forensic Science, Ministry of Justice, China, Shanghai Key Laboratory of Forensic Medicine, NO1347, West Guangfu Road, Putuo District, Shanghai, China.

Journal of Forensic Sciences
|July 13, 2016
PubMed
Summary
This summary is machine-generated.

This study developed an automated method using a support vector machine (SVM) to classify epiphyseal growth in teenagers. The SVM technique proved reliable and accurate for assessing bone development from X-ray images.

Keywords:
distal radiusdistal ulnaforensic anthropologyforensic sciencehistogram of oriented gradientsupport vector classificationsupport vector machine

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Area of Science:

  • Radiology
  • Orthopedics
  • Medical Imaging
  • Machine Learning in Medicine

Background:

  • Accurate assessment of epiphyseal growth is crucial for diagnosing skeletal maturation and guiding orthopedic treatments.
  • Manual classification of epiphyseal growth from X-rays can be subjective and time-consuming.

Purpose of the Study:

  • To develop and validate an automated system for classifying epiphyseal growth in the distal radius and ulna using a support vector machine (SVM).
  • To evaluate the accuracy and feasibility of the SVM-based automated classification method.

Main Methods:

  • Collected X-ray images of distal radii and ulnae from 140 Chinese teenagers (11.0–19.0 years).
  • Extracted features using Histogram of Oriented Gradients (HOG).
  • Developed classification models using Support Vector Classification (SVC) and evaluated using cross-validation and independent testing.

Main Results:

  • The automated SVM technique successfully classified epiphyseal growth into five grades.
  • The models demonstrated reliable performance and high accuracy (PA) in predicting epiphyseal growth grades.

Conclusions:

  • The developed automated technique using SVM for epiphyseal classification is a reliable and feasible approach.
  • This automated method offers a promising tool for objective and efficient assessment of skeletal maturity.