About this trial
Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.
Eligibility criteria
Qualifiers
During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
The patient underwent surgical treatment and the histopathological results.
Disqualifiers
Histopathological analysis confirms non-ovarian tumor;
Histopathological results are inconclusive;
Issues with image quality: the ovarian mass is incomplete and does not show some surrounding tissues (but the mass is too large to exclude completely); the images are overly blurry, making it difficult to determine the characteristics of the ovarian mass (possible reasons include hardware quality issues with the ultrasound machine, motion blur, focusing problems, presence of intestinal gas in the patient); gain settings make it difficult to judge the characteristics of the ovarian mass (such as low contrast, excessively dark images, or saturation); the presence of artifacts affects the assessment of ultrasound characteristics of the ovarian mass and should be excluded.
Trial design
Treatments tested in this trial
- Artificial intelligence model
Treatment groups
Locations
Sponsors and collaborators
Zhejiang Provincial People's Hospital
Lead sponsor
The Second Affiliated Hospital of Harbin Medical University
Collaborator
Sichuan provincial maternity and child health care hospital
Collaborator
The Affiliated Hospital of Qingdao University
Collaborator
Aksu First People's Hospital
Collaborator
Women's Hospital School Of Medicine Zhejiang University
Collaborator