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Technological development of visualization of magnetic resonance sectional images and pelvic floor ultrasonography for teaching purposes

Published: 24 October 2018 Publication History

Abstract

Computer developments as didactic resources are gaining an increasingly relevant role as new technologies are integrated into the teaching activity. A good knowledge and interpretation of radiological procedures, such as nuclear magnetic resonance and ultrasound, is essential to carry out correct clinical diagnoses, especially in an anatomical area as complex as the pelvis and the female pelvic floor. The need for training both students, residents and specialists in gynecology in the anatomy of that area, in the interpretation of diagnostic images and, especially, in surgical anatomy, makes this form of learning through technological resources, such as the one we present, is seen as a new alternative or as a complement to those already used up to the present time

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    TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality
    October 2018
    1072 pages
    ISBN:9781450365185
    DOI:10.1145/3284179
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 24 October 2018

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    Author Tags

    1. Computer development
    2. anatomical-radiological atlas
    3. magnetic resonance
    4. pelvic floor
    5. radiological image
    6. ultrasound

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    TEEM'18 Paper Acceptance Rate 151 of 243 submissions, 62%;
    Overall Acceptance Rate 496 of 705 submissions, 70%

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