Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 200
- 试验地点
- 5
- 主要终点
- Dice Similarity Coefficient
研究概览
简要总结
Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.
详细描述
Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy
排除标准
- •Patients who did not undergo surgery at the original hospital and those whose videos were blurry were excluded.
结局指标
主要结局
Dice Similarity Coefficient
时间窗: 3 years
Dice Similarity Coefficient is a statistical measure of the similarity between two sets of data. In the context of image segmentation, it is used to quantify the spatial overlap between a predicted segmentation mask and its corresponding ground truth mask.
Mean Intersection over Union
时间窗: 3 years
Mean Intersection over Union provides a measure of the overlap between the predicted segmentation and the ground truth, averaged across all classes present in the dataset.
Global Accuracy
时间窗: 3 years
The proportion of correctly classified pixels out of the total number of pixels in the image.
次要结局
- Inference Latency(3 years)
研究者
Di Dong
Professor
Chinese Academy of Sciences