Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints

/in , , /by
Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints

Liu, Jinhua, Desrosiers, Christian and Zhou, Yuanfeng.

In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022) Coll. « Lecture Notes in Computer Science », vol. 13438.p. 140-150.Springer Science and Business Media Deutschland GmbH. 2022

You might also like
Dynamic ensemble selection VS K-NN: Why and when Dynamic Selection obtains higher classification performance?
Feature-based morphometry: Discovering group-related anatomical patterns
The layered architecture revisited: Is it an optimization problem?
Recognition of blowing sound types for real-time implementation in mobile devices
Estimation of the Cardiac Ejection Fraction from image statistics
The Use of vibrotactile feedback to restore texture recognition capabilities, and the effect of subject training
Semi-supervised few-shot learning for medical image segmentation
Evolving classifier ensembles using dynamic multi-objective swarm intelligence