A Parts Based Registration Loss for Detecting Knee Joint Areas
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Abstract (arXiv)
In this paper, a parts based loss is considered for finetune registering knee joint areas. Here the parts are defined as abstract feature vectors with location and they are automatically selected from a reference image. For a test image the detected parts are encouraged to have a similar spatial configuration than the corresponding parts in the reference image.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 10 references that are in the map. First posted on arXiv 30 Jun 2023.
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References · 10
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- 2022A Neural Template Matching Method to Detect Knee Joint Areascited by 1
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