Jove
Visualize
Contact Us

Related Experiment Videos

Evaluation Framework for Bruise Detection: Systematic ALS/White-Light Training and Skin-Tone Balancing with Deep

Kiyarash Aminfar1, Katherine Scafide2, Janusz Wojtusiak3

  • 1Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, College of Engineering and Computing, George Mason University, Fairfax, VA 22030, USA.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

Related Concept Videos

Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
Changes in Skin Color: Clinical Perspectives01:14

Changes in Skin Color: Clinical Perspectives

The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
Albinism is a genetic disorder that affects (completely or partially) the coloring of skin, hair, and eyes. The defect is primarily...

You might also read

Related Articles

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

Sort by
Same author

Mapping oral-systemic health relationships: a data-driven analysis of co-occurrence patterns in biomedical literature.

JAMIA open·2026
Same author

Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence Thresholds.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same author

Which decisions affect cohort distribution in COVID-19 data analytics?

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same author

Social and Behavioral Determinants of Dental Care Utilization among Homeless Pregnant Women in the United States.

Journal of preventive medicine and hygiene·2025
Same author

Artificial Intelligence for Management of Major Depression: Initial Design, Progress, and Research Plans.

Alpha psychiatry·2025
Same author

Does Cohort Selection Affect Machine Learning from Clinical Data?

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
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

Automated bruise detection using alternate-light-source (ALS) imaging and white light shows improved accuracy with more ALS data. This framework enhances forensic bruise assessment across diverse skin tones and lighting conditions.

Area of Science:

  • Forensic Science
  • Computer Vision
  • Medical Imaging

Background:

  • Accurate forensic bruise assessment is vital for victims of violence.
  • Existing methods face challenges with equitable performance across skin tones and lighting.

Purpose of the Study:

  • To present a framework for automated bruise detection integrating alternate-light-source (ALS) and white light imaging.
  • To address equitable performance across skin tones and lighting scenarios using novel diagnostic strategies.

Main Methods:

  • Developed an evaluation framework using narrowband ALS (415 nm, 450 nm) and white light imaging.
  • Employed skin-tone balancing, threshold-sensitivity analysis, and embedding-similarity partitioning.
  • Trained models on a multi-annotator dataset with varying white-light/ALS (W/ALS) ratios.
Keywords:
computer visioninjury detectionmedical image analysistransfer learning

Related Experiment Videos

Main Results:

  • Peak accuracy was achieved with ALS-dominant training; performance declined with increased white-light images.
  • Skin-tone balancing reduced failure rates for darker skin tones but increased overprediction in some subgroups.
  • Image-level partitioning inflated generalization, highlighting the need for injury-level analysis.

Conclusions:

  • Future research should prioritize injury-level data partitioning for more robust models.
  • A weighted balance of ALS images during training is crucial for optimal performance.
  • The developed framework offers improved robustness and fairness in forensic bruise detection.