no code implementations • 15 Jan 2024 • Ron Keuth, Mattias Heinrich
When solving a segmentation task, shaped-base methods can be beneficial compared to pixelwise classification due to geometric understanding of the target object as shape, preventing the generation of anatomical implausible predictions in particular for corrupted data.
no code implementations • 17 Jul 2023 • Ron Keuth, Mattias Heinrich, Martin Eichenlaub, Marian Himstedt
This is realized by incorporating sequences of CNN-based airway likelihoods into a Hidden Markov Model.
no code implementations • 24 Aug 2022 • Ron Keuth, Mattias Heinrich, Martin Eichenlaub, Marian Himstedt
In this way, these traditional algorithms serve as weak supervision for training a shallow CNN directly on RGB images solely based on a phantom dataset.