Segment anything with inception module for automated segmentation of endometrium in ultrasound images.

Yang QiuZhun XieYingchun JiangJianguo Ma

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

The proposed SAIM achieves high segmentation accuracy, providing high diagnostic precision and efficiency. Furthermore, it is potentially an efficient tool for junior medical professionals in education and diagnosis.

Keyphrases

deep learning
convolutional neural network
healthcare
magnetic resonance imaging
machine learning
quality improvement
high throughput
computed tomography
high school