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Video Retrieval System for Meniscal Surgery to Improve Health Care Services
المؤلفون المشاركون
Baik, Sung Wook
Amanat, Sana
Idrees, Muhammad
Khan, Muhammad Usman Ghani
Rehman, Zahoor
Chang, Hangbae
Mehmood, Irfan
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-14
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Meniscal surgery is considered the most general orthopedic process that deals with the treatment of meniscus tears for human health care.
It leads to a communal contusion to the cartilage that stabilizes and cushions the knee joints of human beings.
Such tears can be classified into different categories based on age group, region, and occupation.
Further, a large number of sportsmen and heavy weightlifters even in developed countries are affected by meniscus injuries.
These patients are subjected to arthroscopic surgery, and during surgical treatment, the perseverance of meniscus is a very crucial task.
Current research provides a significant ratio of meniscal tear patients around the globe, the critical expanse is considered as having strikingly risen with a mean annual of 0.066% due to surgery failure.
To decumbent this ratio, an innovative training mechanism is proposed through video retrieval system in this research.
This research work is focussed on developing a corpus and video retrieval system for meniscus surgery.
Using the proposed system, surgeons can access guidance by watching the videos of surgeries performed by an expert and their seniors.
The proposed system is comprised of four approaches to the spatiotemporal methodology to improve health care services.
It entails key point, statistical modeling, PCA-scale invariant feature transform (SIFT), and PCA-Gaussian mixture model (GMM) with a combination of sparse-optical flow.
The real meniscal surgery dataset is used for testing purposes and evaluation.
The results conclude that using PCA-SIFT approach improves the results with an average precision of 0.78.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Amanat, Sana& Idrees, Muhammad& Khan, Muhammad Usman Ghani& Rehman, Zahoor& Chang, Hangbae& Mehmood, Irfan…[et al.]. 2018. Video Retrieval System for Meniscal Surgery to Improve Health Care Services. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201472
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Amanat, Sana…[et al.]. Video Retrieval System for Meniscal Surgery to Improve Health Care Services. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1201472
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Amanat, Sana& Idrees, Muhammad& Khan, Muhammad Usman Ghani& Rehman, Zahoor& Chang, Hangbae& Mehmood, Irfan…[et al.]. Video Retrieval System for Meniscal Surgery to Improve Health Care Services. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201472
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1201472
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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