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.
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.
Study Type
OBSERVATIONAL
Enrollment
200
This is a prospective study on patients aged 18 years or more diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
RECRUITINGBeijing Anzhen Hospital, Capital Medical University
Beijing, China
RECRUITINGBeijing Luhe Hospital, Capital Medical University
Beijing, China
RECRUITINGPeking university people's hospital
Beijing, China
RECRUITINGShanghai East Hospital of Tongji University
Shanghai, China
RECRUITINGDice Similarity Coefficient
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.
Time frame: 3 years
Mean Intersection over Union
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.
Time frame: 3 years
Global Accuracy
The proportion of correctly classified pixels out of the total number of pixels in the image.
Time frame: 3 years
Inference Latency
time taken by the algorithm to process a single video frame and generate the segmentation masks (inference latency), or equivalently, the number of frames processed per second
Time frame: 3 years
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