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Video recognition of simple mastoidectomy using convolutional neural networks: Detection and segmentation of surgical tools and anatomical regions

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Abstract
A simple mastoidectomy is used to remove inflammation of the mastoid cavity and to create a route to the skull base and middle ear. However, due to the complexity and difficulty of the simple mastoidec-tomy, implementing robot vision for assisted surgery is a challenge. To overcome this issue using a convo-lutional neural network architecture in a surgical environment, each surgical instrument and anatomical region must be distinguishable in real time. To meet this condition, we used the latest instance segmen-tation architecture, YOLACT. In this study, a data set comprising 5,319 extracted frames from 70 simple mastoidectomy surgery videos were used. Six surgical tools and five anatomic regions were identified for the training. The YOLACT-based model in the surgical environment was trained and evaluated for real -time object detection and semantic segmentation. Detection accuracies of surgical tools and anatomic regions were 91.2% and 56.5% in mean average precision, respectively. Additionally, the dice similarity coefficient metric for segmentation of the five anatomic regions was 48.2%. The mean frames per second of this model was 32.3, which is sufficient for real-time robotic applications. (c) 2021 Elsevier B.V. All rights reserved.
Author(s)
김남국정종우JoonmyeongChoiSungman Cho
Issued Date
2021
Type
Article
Keyword
Anatomical regionObject detectionSemantic segmentationSimple mastoidectomySurgical tool
DOI
10.1016/j.cmpb.2021.106251
URI
https://oak.ulsan.ac.kr/handle/2021.oak/8086
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_proquest_miscellaneous_2552982226&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Video%20recognition%20of%20simple%20mastoidectomy%20using%20convolutional%20neural%20networks:%20Detection%20and%20segmentation%20of%20surgical%20tools%20and%20anatomical%20regions&offset=0&pcAvailability=true
Publisher
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Location
아일랜드
Language
영어
ISSN
0169-2607
Citation Volume
208
Citation Number
1
Citation Start Page
0
Citation End Page
0
Appears in Collections:
Medicine > Medicine
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