AIMI Lab at MICCAI 2023 in Vancouver
At this year’s “International Conference on Medical Image Computing and Computer Assisted Intervention” (MICCAI), AIMI researcher Jingna Qiu presented her recent work on adaptive region selection, a novel active learning method for determining informative image regions from the gigapixel-sized whole slide image for annotation (rather than labeling the entire whole slide image), with the goal of maximizing the performance of a deep segmentation model with the given limited annotation budget.
If you want to learn more about our work, check out the related papers or contact us directly.
It was fantastic to meet researchers from all over the world and discuss their outstanding work! Many thanks to the organizers!
paper: https://arxiv.org/pdf/2307.07168.pdf
blogpost: https://deepmicroscopy.org/reducing-the-annotation-effort-for-microscopy-images-miccai-2023-paper/