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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
  • machine learning
  • magnetic resonance imaging
  • computed tomography
  • quality improvement
  • ultrasound guided