Paper Title

A Medical Image Assistant Featuring Text-to-Image Retrieval, Deep Learning Annotation, and Description System

Article Identifiers

Registration ID: IJNRD_218379

Published ID: IJNRD2404856

DOI: Click Here to Get

Authors

Nikitha R Karanth , Noor Ayeesha Naaz , Radhika B Kulkarni , Ramya P

Keywords

Machine Learning, Medical Education, Textual Analysis, Image Generation.

Abstract

Contemporary medical education has tremendous potential to enhance learning experiences by integrating machine learning technologies with data strategies. This paper presents a new framework designed for educational settings, using machine learning methods to analyze text-based, visual, and language-based medical education in schools to provide detailed information through image generation through medical concepts, observations, and contextual understanding. It enhances the learning environment.

How To Cite (APA)

Nikitha R Karanth, Noor Ayeesha Naaz, Radhika B Kulkarni, & Ramya P (April-2024). A Medical Image Assistant Featuring Text-to-Image Retrieval, Deep Learning Annotation, and Description System . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i463-i467. https://ijnrd.org/papers/IJNRD2404856.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : i463-i467

Other Publication Details

Paper Reg. ID: IJNRD_218379

Published Paper Id: IJNRD2404856

Downloads: 000121961

Research Area: Computer Engineering 

Country: Shivamogga, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404856.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404856

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

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Call For Paper

Call For Paper - Volume 10 | Issue 9 | September 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: September 2025

Current Issue: Volume 10 | Issue 9 | September 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Sep-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details