loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. S. Shahriar Faruque ; Shourav Banik ; M. Kazi Mohammed ; Mahady Hasan and M. Ashraful Amin

Affiliation: Independent University and Bangladesh, Bangladesh

Keyword(s): Diagnostic Imaging, X-Ray, Medical Image Annotation, Semi-Auto Segmentation, Information Retrieval, Image Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Computer-Supported Education ; Domain Applications and Case Studies ; e-Learning ; Enterprise Information Systems ; Information Technologies Supporting Learning ; Intelligent Learning and Teaching Systems ; Intelligent Tutoring Systems

Abstract: This paper presents a framework for building diagnostic imaging teaching and learning facility for entry level medical students of Bangladesh. Initially we demonstrate an X-Ray image analysis and retrieval system that will work as one of the main component in this system. This web based system has three modes. First is the annotation mode where an expert radiologist manually performs annotation of raw x-ray images. To aid the annotation process proposed model proposes a manual and a semi-auto segmentation tool in identifying the region of interests (ROI) in the X-Ray images. Image Retrieval in Medical Applications (IRMA) structure has been used for the annotating the ROIs. In the learning mode, students can retrieve images from the database created by expert radiologists. We proposed information retrieval techniques to find x-ray images of interest. We have used text based and content based search methods which is based on term frequency–inverse document frequency (tf-idf), and Gabor filter respectively. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 74.48.170.251

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Faruque, M. S. S., Banik, S., Mohammed, M. K., Hasan, M. and Amin, M. A. (2015). Teaching & Learning System for Diagnostic Imaging - Phase I: X-Ray Image Analysis & Retrieval. In Proceedings of the 7th International Conference on Computer Supported Education - CSEDU; ISBN 978-989-758-107-6; ISSN 2184-5026, SciTePress, pages 430-435. DOI: 10.5220/0005479604300435

@conference{csedu15,
author={M. S. Shahriar Faruque and Shourav Banik and M. Kazi Mohammed and Mahady Hasan and M. Ashraful Amin},
title={Teaching & Learning System for Diagnostic Imaging - Phase I: X-Ray Image Analysis & Retrieval},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - CSEDU},
year={2015},
pages={430-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005479604300435},
isbn={978-989-758-107-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Computer Supported Education - CSEDU
TI - Teaching & Learning System for Diagnostic Imaging - Phase I: X-Ray Image Analysis & Retrieval
SN - 978-989-758-107-6
IS - 2184-5026
AU - Faruque, M.
AU - Banik, S.
AU - Mohammed, M.
AU - Hasan, M.
AU - Amin, M.
PY - 2015
SP - 430
EP - 435
DO - 10.5220/0005479604300435
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic