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. 2022 Mar 1;12(3):611. doi: 10.3390/diagnostics12030611
Active Shape Model Algorithm
  1. Finding the closest nearby match for the point A′i by analyzing a region of the image around each point Ai.

  2. The parameters (At, Yt, s, o, b) should be updated to fit the newly discovered points A.

  3. Set constraints on the parameters, b, to ensure plausible shapes (e.g., limit so [bi] < 3 λi).

  4. Continue until convergence is reached.