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

Ethical Standards I01:25

Ethical Standards I

939
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
939
Computed Tomography01:10

Computed Tomography

5.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
5.6K
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

1.4K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
1.4K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

44
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
44
Nursing Clinical Information System01:27

Nursing Clinical Information System

858
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
858
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

203
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
203

You might also read

Related Articles

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

Sort by
Same author

AI in Mental Health: A Review of Technological Advancements and Ethical Issues in Psychiatry.

Issues in mental health nursing·2025
Same author

A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm.

Scientific reports·2024
Same author

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets.

Computational intelligence and neuroscience·2022
Same author

Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management.

Chemosphere·2022
Same author

Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment.

Computational intelligence and neuroscience·2022
Same author

Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2022
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Related Experiment Video

Updated: Sep 1, 2025

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

Pigeon Inspired Optimization with Encryption Based Secure Medical Image Management System.

B T Geetha1, Prakash Mohan2, A V R Mayuri3

  • 1Department of ECE, Saveetha School of Engineering, SIMATS, Saveetha University, Chennai, India.

Computational Intelligence and Neuroscience
|August 18, 2022
PubMed
Summary
This summary is machine-generated.

A new Pigeon Inspired Optimization with Encryption-based Secure Medical Image Management (PIOE-SMIM) technique enhances medical image security. This method improves data privacy and image quality through optimized encryption and secret sharing, outperforming existing methods.

More Related Videos

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

201

Related Experiment Videos

Last Updated: Sep 1, 2025

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
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

201

Area of Science:

  • Medical Informatics
  • Cybersecurity
  • Image Processing

Background:

  • Technological advancements in healthcare present security and privacy challenges for health applications.
  • Medical images are sensitive data requiring secure transmission methods.
  • Existing encryption models struggle to adapt to the increasing volume of medical images.

Purpose of the Study:

  • To propose a novel Pigeon Inspired Optimization with Encryption-based Secure Medical Image Management (PIOE-SMIM) technique.
  • To enhance the security and privacy of medical images during transmission.
  • To optimize the key generation process for improved encryption performance.

Main Methods:

  • Medical images are converted into 12 shares using a secret share creation (SSC) approach.
  • Elliptic Curve Cryptography (ECC) is employed for the encryption process.
  • Pigeon Inspired Optimization (PIO) is utilized for optimal key generation in ECC to maximize Peak Signal-to-Noise Ratio (PSNR).

Main Results:

  • The PIOE-SMIM model achieved an enhanced PSNR of 59.37 dB for image 1.
  • An improved PSNR of 59.53 dB was recorded for image 5 using the PIOE-SMIM model.
  • Experimental results demonstrated the superiority of the PIOE-SMIM method over other existing techniques.

Conclusions:

  • The PIOE-SMIM technique offers an effective solution for secure medical image management.
  • The proposed method enhances data security, privacy, and image quality.
  • PIOE-SMIM shows significant improvements in PSNR, highlighting its effectiveness in medical image encryption.