Welcome to BIRL’s documentation!¶
Contents¶
Indices and tables¶
BIRL: Benchmark on Image Registration methods with Landmark validation¶
The project aims at automatic evaluation of state-of-the-art image registrationmethods based on landmark annotation for given image dataset. In particular,this project is the main evaluation framework for ANHIR challenge.
Main Features¶
automatic execution of image registration on a sequence of image pairs
integrated evaluation of registration performances
integrated visualization of performed registration
running several image registration experiment in parallel
resuming unfinished sequence of registration benchmark
handling around dataset and creating own experiments
rerun evaluation and visualisation for finished experiments
References¶
Borovec, J., Munoz-Barrutia, A., & Kybic, J. (2018).Benchmarking of image registration methods for differently stained histological slides.In IEEE International Conference on Image Processing (ICIP) (pp. 3368-3372), Athens.DOI: 10.1109/ICIP.2018.8451040
Borovec, J. (2019). BIRL: Benchmark on Image Registration methods with Landmark validation.arXiv preprint arXiv:1912.13452.
Borovec, J., Kybic, J., et al. (2020).ANHIR: Automatic Non-rigid Histological Image Registration Challenge.In IEEE Transaction on Medical Imaging (TMI).DOI: 10.1109/TMI.2020.2986331