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

The Retinoblastoma Gene01:20

The Retinoblastoma Gene

4.2K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Microbiome modulating remedies for chronic diseases: a review of current interventions and future directions.

Inflammopharmacology·2026
Same author

Quercetin's Multifaceted Role in Alzheimer's Disease, Melanoma, and Tuberculosis: A Systematic Review with Preclinical Insights.

Current pharmaceutical design·2026
Same author

Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer.

BioMed research international·2023
Same author

Optimization of Selective Laser Melting Parameter for Invar Material by Using JAYA Algorithm: Comparison with TLBO, GA and JAYA.

Materials (Basel, Switzerland)·2022
Same author

Advancements in the Additive Manufacturing of Magnesium and Aluminum Alloys through Laser-Based Approach.

Materials (Basel, Switzerland)·2022
Same author

Elastic Properties of Jute Fiber Reinforced Polymer Composites with Different Hierarchical Structures.

Materials (Basel, Switzerland)·2022
Same journal

Evaluating a Novel Cell-Free Preservation Solution for Human Cardiomyocyte Protection: A Proof-of-Concept Study.

BioMed research international·2026
Same journal

Clinical Efficacy of Chinese Medicine in Treating Adult Henoch-Schönlein Purpura: A Meta-Analysis.

BioMed research international·2026
Same journal

RETRACTION: Rehabilitation Training and Resveratrol Improve the Recovery of Neurological and Motor Function in Rats after Cerebral Ischemic Injury through the Sirt1 Signaling Pathway.

BioMed research international·2026
Same journal

The Oncogenic and Tumor-Suppressive Roles of SNHG18: A Double-Edged Long Noncoding RNA in Cancer.

BioMed research international·2026
Same journal

Evaluation of LncRNA NEAT1 and MEG3 Expression Levels in Hospitalized COVID-19 Patients.

BioMed research international·2026
Same journal

Perceived Self-Efficacy and Its Determinants for Noncommunicable Disease Prevention Among Adults in Southern Ethiopia: A Community-Based Cross-Sectional Study.

BioMed research international·2026
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K

A Multi-Thresholding-Based Discriminative Neural Classifier for Detection of Retinoblastoma Using CNN Models.

Parmod Kumar1, D Suganthi2, K Valarmathi3

  • 1Department of Electronics and Information Engineering, Jiangxi University of Engineering, Xinyu City, Jiangxi, China.

Biomed Research International
|February 16, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a deep learning approach using Convolutional Neural Networks (CNNs) for early retinoblastoma detection. The developed model accurately identifies cancerous regions in the eye, aiding in timely diagnosis and treatment.

Area of Science:

  • Ophthalmology
  • Oncology
  • Computer Science

More Related Videos

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.9K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K

Related Experiment Videos

Last Updated: Aug 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.9K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K

Background:

  • Retinoblastoma is a rare eye cancer primarily affecting young children, necessitating early diagnosis to prevent vision loss.
  • Current diagnostic methods for retinoblastoma rely on clinician expertise for identifying cancerous regions, highlighting a need for automated solutions.
  • Deep learning, particularly Convolutional Neural Networks (CNNs), offers promising capabilities for image analysis in medical diagnostics.