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

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

634
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
634
Optimal Foraging00:48

Optimal Foraging

13.7K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.7K
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

5.8K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
5.8K
Optimization Problems01:26

Optimization Problems

55
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
55
Skin Cancer01:30

Skin Cancer

5.8K
Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
5.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K

You might also read

Related Articles

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

Sort by
Same author

Artificial intelligence optimized image segmentation techniques for renal cyst detection.

Journal of medical engineering & technology·2022
Same author

Advance computer analysis of magnetic resonance imaging (MRI) for early brain tumor detection.

The International journal of neuroscience·2020
Same author

Improved skin lesions detection using color space and artificial intelligence techniques.

The Journal of dermatological treatment·2019
Same author

Primary amoebic meningoencephalitis in an infant.

Indian journal of medical microbiology·2019
Same author

Study of Haralick's and GLCM texture analysis on 3D medical images.

The International journal of neuroscience·2018
Same author

NGA- A Novel Hypothetical Drug Model: Combinatorial Approach to Multifactorial Alzheimer's Disease.

Current drug discovery technologies·2015

Related Experiment Video

Updated: Jan 23, 2026

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K

Improved skin lesion edge detection method using Ant Colony Optimization.

Sudhriti Sengupta1, Neetu Mittal1, Megha Modi2

  • 1Amity Institute of Information Technology, Amity University, Noida, Uttar Pradesh, India.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)
|June 23, 2019
PubMed
Summary
This summary is machine-generated.

Ant colony optimization (ACO) enhances skin lesion image analysis by improving edge detection. This automated diagnostic approach boosts the accuracy of identifying skin conditions.

Keywords:
Ant Colony OptimizationCannyPrewittSobeledge detectionskin lesions

More Related Videos

An Improved Method for the Preparation of Type I Collagen From Skin
05:17

An Improved Method for the Preparation of Type I Collagen From Skin

Published on: January 21, 2014

23.4K
Embryo Injections for CRISPR-Mediated Mutagenesis in the Ant Harpegnathos saltator
08:30

Embryo Injections for CRISPR-Mediated Mutagenesis in the Ant Harpegnathos saltator

Published on: February 9, 2021

3.1K

Related Experiment Videos

Last Updated: Jan 23, 2026

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions
10:11

Collection and Long-Term Maintenance of Leaf-Cutting Ants Atta in Laboratory Conditions

Published on: August 30, 2022

4.1K
An Improved Method for the Preparation of Type I Collagen From Skin
05:17

An Improved Method for the Preparation of Type I Collagen From Skin

Published on: January 21, 2014

23.4K
Embryo Injections for CRISPR-Mediated Mutagenesis in the Ant Harpegnathos saltator
08:30

Embryo Injections for CRISPR-Mediated Mutagenesis in the Ant Harpegnathos saltator

Published on: February 9, 2021

3.1K

Area of Science:

  • Medical Imaging
  • Computational Intelligence
  • Dermatology

Background:

  • Automated skin lesion diagnosis relies heavily on accurate edge detection for disease identification.
  • Improving the precision of skin lesion edge contours is crucial for developing effective diagnostic systems.

Purpose of the Study:

  • To enhance the edge contour detection of skin lesion images using Ant Colony Optimization (ACO).
  • To improve the efficiency and accuracy of automated skin lesion diagnostic systems.

Main Methods:

  • A three-stage preprocessing pipeline including color space conversion, contrast enhancement, and filtering was applied.
  • Conventional edge detection methods (Canny, Sobel, Prewitt) were used to generate initial edge maps.
  • Ant Colony Optimization (ACO) was employed to refine and improve the edge contours derived from conventional methods.

Main Results:

  • Quantitative analysis using image entropy demonstrated the effectiveness of the proposed ACO-based methodology.
  • The ACO technique resulted in a more refined and accurate edge contour compared to traditional methods.

Conclusions:

  • The integration of Ant Colony Optimization (ACO) significantly improves the performance of conventional edge detection techniques for skin lesion images.
  • This advancement contributes to more accurate and efficient automated skin lesion diagnostic systems.