BIRL: Benchmark on Image Registration methods with Landmark validation

12/31/2019

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by   Jiri Borovec, et al.

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This report presents a generic image registration benchmark with automatic evaluation using landmark annotations. The BIRL framework has a few key features, such as: easily extendable, performance evaluation, parallel experimenting, simple visualisations, experiment's time-out limit, pause/resume experiments. The main use-cases are (a) compare your (newly developed) method with some State-of-the-Art (SOTA) methods on a common dataset and (b) experiment SOTA methods on your custom dataset (which should contain landmark annotation). In this paper, we present mixed-methods aiming at bio-medical imaging and experimental result on CIMA dataset. However, any other methods for other domain can be added or costume dataset to be used. https://borda.github.io/BIRL