Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

Summary

Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.

Key Facts

Interventions

Conditions

Eligibility

Inclusion Criteria:

1. During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
2. The patient underwent surgical treatment and the histopathological results.

Exclusion Criteria:

1. Histopathological analysis confirms non-ovarian tumor;
2. Histopathological results are inconclusive;
3. 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.

Outcome Measures

Linked Diseases