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KMID : 1151820210150010015
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Journal of the Korean Society of Radiology
2021 Volume.15 No. 1 p.15 ~ p.20
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Evaluation of the Usefulness of Detection of Abdominal CT Kidney and Vertebrae using Deep Learning
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Lee Hyun-Jong
Kwak Myeong-Hyeun
Yoon Hye-Won
Ryu Eun-Jin
Song Hyeon-Gyeong
Hong Joo-Wan
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Abstract
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CT is important role in the medical field, such as disease diagnosis, but the number of examination and CT images are increasing. Recently, deep learning has been actively used in the medical field, and it has been used to diagnose auxiliary disease through object detection during deep learning using medical images. The purpose of study to evaluate accuracy by detecting kidney and vertebrae during abdominal CT using object detection deep learning in YOLOv3. As a results of the study, the detection accuracy of the kidney and vertebrae was 83.00%, 82.45%, and can be used as basic data for the object detection of medical images using deep learning.
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KEYWORD
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Computed Tomography , Organ , Deep learning , YOLOv3 , Object detection
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Listed journal information
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