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A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery
المؤلفون المشاركون
Choi, Jaesoon
Moon, Youngjin
Ryu, Jiwon
Kim, Hee Chan
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-02
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Although the use of the surgical robot is rapidly expanding for various medical treatments, there still exist safety issues and concerns about robot-assisted surgeries due to limited vision through a laparoscope, which may cause compromised situation awareness and surgical errors requiring rapid emergency conversion to open surgery.
To assist surgeon’s situation awareness and preventive emergency response, this study proposes situation information guidance through a vision-based common algorithm architecture for automatic detection and tracking of intraoperative hemorrhage and surgical instruments.
The proposed common architecture comprises the location of the object of interest using feature texture, morphological information, and the tracking of the object based on Kalman filter for robustness with reduced error.
The average recall and precision of the instrument detection in four prostate surgery videos were 96% and 86%, and the accuracy of the hemorrhage detection in two prostate surgery videos was 98%.
Results demonstrate the robustness of the automatic intraoperative object detection and tracking which can be used to enhance the surgeon’s preventive state recognition during robot-assisted surgery.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ryu, Jiwon& Moon, Youngjin& Choi, Jaesoon& Kim, Hee Chan. 2018. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ryu, Jiwon…[et al.]. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ryu, Jiwon& Moon, Youngjin& Choi, Jaesoon& Kim, Hee Chan. A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187705
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187705
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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