Sold
Available
IBL-26-0406

Ovarian Tumor Classification Method and Apparatus

Listed on
2026-07-03
Method and Apparatus for Automatic Classification of Ovarian Tumors in Ultrasound Images

This technology is a method and apparatus for classifying ovarian tumors using a trained model after removing annotations and calipers from ultrasound images.

Calipers and annotations present in ultrasound images have historically reduced the accuracy of tumor classification.

This technology improves the accuracy of ovarian tumor classification by removing annotations and calipers using a first model and classifying tumors using a second model, thereby eliminating interference.

Key Features:
  • Ultrasound image input including annotations and calipers
  • Removal of annotations and calipers via a first model
  • Tumor classification via a second model
  • Improved classification accuracy through interference removal
Pohang University of Science & Technology
Catholic University of Korea Industry-Academic Cooperation Foundation | Choi Yoon-jin | Lee Seung-cheol | Kim Tae-wan | Jeong Yu-yeon
Document
Date of application:
2022-12-02
|
Patent registration number:
10-2797552
Industry
healthcare•pharm
Technology
Medical devices
Artifical Intelligence
Country
Korea
Family Patent

N/A

Price
가격협의
Subscribe to our newsletter to receive the latest patent information faster than anyone else.
← Back to list