Paper Title
A Medical Image Assistant Featuring Text-to-Image Retrieval, Deep Learning Annotation, and Description System
Article Identifiers
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.
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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 EngineeringÂ
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
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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