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. URL
This report presents a generic image registration benchmark with automatic evaluation using landmark annotations. The key features of the BIRL framework are : easily extendable, performance evaluation, parallel experimentation , simple visualisations, experiment's time-out limit, resuming unfinished experiments. From the research practice, we identified and focused on these two main use-cases : (a) comparison of user's (newly developed) method with some State-of-the-Art (SOTA) methods on a common dataset and (b) experimenting SOTA methods on user's custom dataset (which should contain landmark annotation). Moreover , we present an integration of several standard image registration methods aiming at biomedical imaging into the BIRL framework. This report also contains experimental results of these SOTA methods on the CIMA dataset, which is a dataset of Whole Slice Imaging (WSI) from histology/pathology containing several multi-stain tissue samples from three tissue kinds. Source and results: URL
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an integration of several standard image registration methods aiming at biomedical imaging into the BIRL framework. This report also contains experimental results of these SOTA methods on the CIMA dataset, which is a dataset of Whole Slice Imaging (WSI) from histology/pathology containing several multi-stain tissue samples from three tissue kinds. Source and results: