Surgical Scene Segmentation in Robotic Gastrectomy
Surgical Scene Segmentation in Robotic Gastrectomy
Datasets
Surgical Scene Segmentation in Robotic Gastrectomy
File
Surgical Scene Segmentation in Robotic Gastrectomy
Use Case
Gastrectomy Segmentation
Description
Surgical scene analysis in robotic gastrectomy refers to the process of isolating the video feed or images captured during a robotic-assisted gastrectomy surgery into different segments or regions of interest. Robotic gastrectomy is a minimally invasive surgical procedure used to remove a part or the entire stomach, often as a treatment for conditions like gastric cancer.
About the Dataset:
Many studies relied on basic fake with limited organ and tool representations. Compounding the issue, comprehensive file for public use were rarely available, Blocking progress in the field.
In response to these challenges, we’ve made a significant leap forward.
Our Approach
To construct this dataset, we began by meticulously curating real image data Quotation from 40 actual surgical videos of gastrectomy procedures conducted with the da Vinci Surgical System (dVSS).
Benefits The benefits of section picture analysis in AI gastric resection are manifold:
- Enhanced Precision: It enhances the precision of the surgical robot by providing accurate and real-time information about the surgical field. This allows for more precise movements, reducing the risk of inadvertent damage to surrounding tissues and organs.
- Detailed View of Surgical Field: By providing a clear and detailed view of the surgical field, it reduces the likelihood of complications arising from misidentification of anatomical structures.
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