AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging.

Heather M Whitney Roni Yoeli-Bik Jacques S AbramowiczLi LanHui LiRyan E LongmanErnst Lengyel Maryellen L Giger

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

A combined U-net and FCM algorithm for automatic segmentation of adnexal masses and their internal components achieved excellent results compared with expert outlines and review, supporting future radiomic feature-based classification of the masses by components.

Keyphrases

deep learning
artificial intelligence
machine learning
convolutional neural network
fine needle aspiration
contrast enhanced
ultrasound guided
contrast enhanced ultrasound
magnetic resonance imaging
magnetic resonance
clinical practice
high throughput