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Artificial Intelligence in Minimally Invasive Interventional Treatment

arXiv 2106.15306 ↗First posted 8 Jun 2021cs.CV cs.GR cs.LGcited by 0

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Abstract (arXiv)

Minimally invasive image guided treatment procedures often employ advanced image processing algorithms. The recent developments of artificial intelligence algorithms harbor potential to further enhance this domain. In this article we explore several application areas within the minimally invasive treatment space and discuss the deployment of artificial intelligence within these areas.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 8 Jun 2021.

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References · 4

  1. 2018A Deep Learning Framework for Unsupervised Affine and Deformable Image Registrationcited by 160
  2. 2019Deep Learning in Medical Image Registration: A Surveycited by 124
  3. 2018Estimating Depth from RGB and Sparse Sensingcited by 23
  4. 2018Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networkscited by 3

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