3 accepted papers
Understanding cellular responses to external stimuli is critical for parsing biological mechanisms and advancing therapeutic development. High-content image-based assays provide a cost-effective approach to examine cellular phenotypes induced by diverse interventions, which offers valuable insights…
Existing learning-based solutions to medical image segmentation have two important shortcomings. First for most new segmentation tasks a new model has to be trained or fine-tuned. This requires extensive resources and machine-learning expertise and is therefore often infeasible for medical researche…
Various strategies for label-scarce object detection have been explored by the computer vision research community. These strategies mainly rely on assumptions that are specific to natural images and not directly applicable to the biological and biomedical vision domains. For example, most semi-super…