지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.5
- 수록면
- 239 - 239 (1page)
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초록· 키워드
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Purpose
Thyroidectomy is the most common cause of hypoparathyroidism. reserving the parathyroid during thyroidectomy is extremely important. However, the parathyroid glands are not easy to distinguish from the surrounding fat tissue or even lymph node for the inexperienced eye. The purpose of this study was to develop a real time-parathyroid detection algorithm based on deep learning technology that could aid endocrine surgeons in identifying the parathyroid gland during thyroidectomy and thus reduce post-operative hypoparathyroidism
Method
In this study, surgical video clips of 152 patients who underwent thyroid surgery at our institution were used. Both upper and lower parathyroids were filmed using a commercial camera and a 10mm 30 degrees’ endoscope after which intraoperative fine needle aspiration was performed to confirm the parathyroids. Still cut images of confirmed parathyroids were preprocessed for deep learning and region of interest (ROI) was identified by the surgeon as gold standard.
Key-frame images were extracted from each clips and their quality was evaluated according to the BRISQUE’s score system. Each image was geometrically, photometrically and Generative Adversarial Network-wise (GAN) transformed to augment the training set.
True object detection condition was defined as intersection over union (area of overlap/area of Union) ≥ 0.1 and probability ≥ 0.05. This alg ... 전체 초록 보기
Thyroidectomy is the most common cause of hypoparathyroidism. reserving the parathyroid during thyroidectomy is extremely important. However, the parathyroid glands are not easy to distinguish from the surrounding fat tissue or even lymph node for the inexperienced eye. The purpose of this study was to develop a real time-parathyroid detection algorithm based on deep learning technology that could aid endocrine surgeons in identifying the parathyroid gland during thyroidectomy and thus reduce post-operative hypoparathyroidism
Method
In this study, surgical video clips of 152 patients who underwent thyroid surgery at our institution were used. Both upper and lower parathyroids were filmed using a commercial camera and a 10mm 30 degrees’ endoscope after which intraoperative fine needle aspiration was performed to confirm the parathyroids. Still cut images of confirmed parathyroids were preprocessed for deep learning and region of interest (ROI) was identified by the surgeon as gold standard.
Key-frame images were extracted from each clips and their quality was evaluated according to the BRISQUE’s score system. Each image was geometrically, photometrically and Generative Adversarial Network-wise (GAN) transformed to augment the training set.
True object detection condition was defined as intersection over union (area of overlap/area of Union) ≥ 0.1 and probability ≥ 0.05. This alg ... 전체 초록 보기
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