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

Hybrid Zones02:29

Hybrid Zones

22.0K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
22.0K
Nuclear Fusion02:45

Nuclear Fusion

33.9K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Ovaries01:26

Ovaries

2.5K
The ovaries are roughly the size of almonds and measure approximately 2 to 3 centimeters in length. These paired structures are situated within the pelvic region and are anchored by the mesovarium—a peritoneal extension that also connects them to the wider structure of the broad ligament. The support system extends to the suspensory ligament, housing blood and lymphatic vessels. In addition, the ovarian ligament tethers the ovaries to the uterus.
On the ovarian surface, a layer of...
2.5K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

67.7K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
67.7K

You might also read

Related Articles

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

Sort by
Same author

Automatic Follicle Counting From Ultrasound Images of Ovaries Using MARDSE-UNET Model.

Ultrasonic imaging·2025
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound
07:29

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound

Published on: October 4, 2021

2.9K

PCOSFusionNet: Hybrid Deep Feature Fusion Network for PCOS Classification from Ultrasound Images of Ovaries.

Debasmita Saha1, Ardhendu Mandal2, Saroj Kumar Biswas3

  • 1Department of Computer Science, University of Gour Banga, Malda, West Bengal, India.

Ultrasonic Imaging
|February 8, 2026
PubMed
Summary

A new PCOSFusionNet model improves Polycystic Ovary Syndrome (PCOS) diagnosis using AI. It combines deep learning and handcrafted features from ultrasound images, achieving high accuracy for detecting this common cause of infertility.

Keywords:
CNN modelfeature fusionimage classificationpolycystic ovary syndrome (PCOS)ultrasound image of ovary

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.0K
Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
12:00

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Published on: March 2, 2015

12.7K

Related Experiment Videos

Last Updated: Feb 10, 2026

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound
07:29

Deep Vascular Imaging in the Eye with Flow-Enhanced Ultrasound

Published on: October 4, 2021

2.9K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.0K
Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
12:00

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

Published on: March 2, 2015

12.7K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Women's Health

Background:

  • Polycystic Ovary Syndrome (PCOS) affects 5-10% of reproductive-aged women, causing infertility and complications.
  • Ultrasound diagnosis of PCOS is challenging due to variable follicle size and complex imaging features.
  • Current automated PCOS detection methods need improvement in diagnostic accuracy.

Purpose of the Study:

  • To develop an automated system for accurate PCOS classification using ultrasound images.
  • To enhance diagnostic accuracy by integrating diverse feature extraction techniques.
  • To introduce the PCOSFusionNet model for improved PCOS detection.

Main Methods:

  • Utilized Contrast Limited Adaptive Histogram Equalization (CLAHE) for preprocessing.
  • Employed Histogram of Oriented Gradients (HOG) for handcrafted feature extraction.
  • Integrated VGG19 deep learning model for global feature extraction.
  • Developed PCOSFusionNet, a feature fusion model combining HOG and VGG19 features.
  • Applied watershed method for image segmentation prior to classification.

Main Results:

  • PCOSFusionNet achieved high classification performance across accuracy, precision, recall, and F1-score.
  • The model demonstrated superior results on two public datasets (Dataset_1: 3856 images, Dataset_2: 12,680 images).
  • Achieved accuracies of 98.49% (Dataset_1) and 98.30% (Dataset_2), surpassing state-of-the-art methods.

Conclusions:

  • The PCOSFusionNet model effectively improves PCOS classification accuracy.
  • Feature fusion of deep and handcrafted features enhances diagnostic performance.
  • The proposed system shows significant potential for clinical application in PCOS diagnosis.