Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

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...
Skeletal Muscle Anatomy00:55

Skeletal Muscle Anatomy

Skeletal muscle is the most abundant type of muscle in the body. Tendons are the connective tissue that attaches skeletal muscle to bones. Skeletal muscles pull on tendons, which in turn pull on bones to carry out voluntary movements.
Muscles of the Thorax01:25

Muscles of the Thorax

The thorax muscles are central to the body's respiration and provide essential support and movement for the upper body. They are intricately designed to facilitate the complex breathing process while also contributing to the structural integrity and mobility of the chest and upper limbs.
The diaphragm is at the core of thoracic musculature, the primary muscle involved in breathing. This expansive, dome-shaped muscle marks the division between the thoracic and abdominal cavities. It originates...
Muscles of the Shoulder01:23

Muscles of the Shoulder

The muscles surrounding the shoulder girdle, including the clavicle and scapula, primarily stabilize the scapula. This stable base allows other muscles to move the humerus effectively. Scapular movements often mirror those of the humerus and extend its range of motion. For instance, raising the arm above the head would not be feasible without simultaneous upward rotation of the scapula.
Anterior Thoracic Muscles
The anterior thoracic muscles include the serratus anterior, subclavius, and...
Overview of Muscle Tissues01:25

Overview of Muscle Tissues

The human body has three types of muscle tissue: skeletal, smooth, and cardiac. Each class has unique properties that enable them to perform specific functions. However, all muscle tissues share certain properties, including elasticity, contractility, and excitability. 
Elasticity
Elasticity is the ability of muscles to stretch and return to their original shape. This property is partly due to elastic fibers — macromolecules that run through the muscles. These fibers are firm and resilient,...
Gross Anatomy of Skeletal Muscles01:12

Gross Anatomy of Skeletal Muscles

The connective tissues play a significant role in arranging the muscle fibers into a hierarchical structure that forms a complete muscle. Consider a muscle like the bicep brachii, commonly called the bicep. This muscle comprises thousands of muscle fibers enclosed by a protective layer of connective tissue called the endomysium. The endomysium is primarily composed of reticular fibers, a type of thin collagen fiber. It allows the exchange of nutrients and waste products at the fiber level,...

You might also read

Related Articles

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

Sort by
Same author

MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus-OCT Fusion.

Journal of imaging·2026
Same author

Reconfiguring brain networks via lightweight dynamic connectivity framework: An EEG-based stress validation.

Computers in biology and medicine·2026
Same author

Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.

Abdominal radiology (New York)·2026
Same author

Uncertainty quantification-based DMEFNet for reliable modelling of heart sound signals.

Scientific reports·2026
Same author

Impact of Pollution on Mental Health: A Systematic Review of Associations, Methodological Challenges, and Future Directions.

Health science reports·2026
Same author

Exploring the impact of haptoglobin gene polymorphisms and severity of sickle cell disease: meta-analysis and gene set enrichment study.

Hematology, transfusion and cell therapy·2026
Same journal

SynTME: A tumor microenvironment-aware, pharmacology-inspired multi-stage framework for drug synergy prediction.

Computer methods and programs in biomedicine·2026
Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
See all related articles

Related Experiment Video

Updated: May 15, 2026

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

Pectoral muscle segmentation: a review.

Karthikeyan Ganesan1, U Rajendra Acharya, Kuang Chua Chua

  • 1Department of ECE, Ngee Ann Polytechnic, Singapore 599489, Singapore. g.karthikeya@gmail.com

Computer Methods and Programs in Biomedicine
|December 29, 2012
PubMed
Summary
This summary is machine-generated.

This review synthesizes research on pectoral muscle segmentation in mammograms, crucial for accurate computer-aided diagnosis (CAD) by distinguishing muscle from breast tissue. It highlights the need for effective segmentation to improve diagnostic reliability.

More Related Videos

Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

Related Experiment Videos

Last Updated: May 15, 2026

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

Area of Science:

  • Medical Imaging
  • Radiology
  • Computer-Aided Diagnosis

Background:

  • Mammograms are essential for breast cancer detection.
  • Pectoral muscle segmentation is vital for accurate computer-aided diagnosis (CAD).
  • Pectoral muscles share similar textures and intensities with breast tissue, potentially skewing CAD results.

Purpose of the Study:

  • To provide a comprehensive review of current research on pectoral muscle segmentation in mammograms.
  • To address the lack of definitive literature in this specific area.
  • To focus solely on pectoral muscle segmentation, excluding automated breast cancer detection.

Main Methods:

  • Systematic review of existing research papers on pectoral muscle segmentation.
  • Analysis of methodologies used for segmenting pectoral muscles in mammographic images.
  • Identification of common challenges and techniques in pectoral muscle contouring.

Main Results:

  • Pectoral muscle segmentation is a critical preprocessing step for reliable CAD.
  • Various segmentation techniques exist, each with advantages and limitations.
  • Accurate segmentation is necessary to prevent misinterpretation of breast tissue characteristics.

Conclusions:

  • A comprehensive review of pectoral muscle segmentation research is needed.
  • Effective pectoral muscle segmentation is key to enhancing the performance of automated diagnostic systems.
  • Further research should focus on robust and accurate segmentation methods.