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Cervical cancer segmentation based on medical images: a literature review.
Xiu Wang
Chaolu Feng
Mingxu Huang
Shiqi Liu
He Ma
Kun Yu
Published in:
Quantitative imaging in medicine and surgery (2024)
The paper provides valuable insights into the current state-of-the-art in cervical cancer CTV outlining and organs at risk segmentation, highlighting areas for future research.
Keyphrases
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convolutional neural network
deep learning
healthcare
case report
current status
machine learning
optical coherence tomography