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Generative modeling of biological shapes and images using a probabilistic α -shape sampler.

Emily T WinnHadley WittDhananjay BhaskarRyan Y HuangJonathan S ReichnerIan Y WongLorin Crawford
Published in: bioRxiv : the preprint server for biology (2024)
-shape sampler which has the flexibility to generate new and unobserved shapes based on an input set of data. We extensively evaluate the generative capabilities of our pipeline using 2D cellular images of neutrophils and 3D mandibular molars from two different suborders of primates.
Keyphrases
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • multidrug resistant
  • electronic health record
  • big data
  • cone beam computed tomography
  • cone beam