4 papers
SWIFT-Cell: Segmentation Without Iterative Flow Tracking
Devansh Lalwani, Swapnil Bhat, Muralikrishna H H +2
Generalist segmenters such as Cellpose-SAM (CPSAM) outline cells accurately across stains but slowly; watershed detectors such as QuPath's are fast but less accurate. In time-criti…
HistoFID- Calibrating Frechet-distance evaluation across pathology foundation models
Swapnil Bhat, Devansh Lalwani, Maulik Shah +5
The Frechet Inception Distance (FID) compares two image sets by fitting a Gaussian to the features of a fixed network and measuring the distance between the two Gaussians. In digit…
Aligning Cellular Sheaves with Classifier Attention for Interpretable Weakly-Supervised Pathology Localization
Devansh Lalwani, Swapnil Bhat, Maulik Shah
Weakly-supervised classification of whole-slide images with attention-based multiple instance learning (ABMIL) on top of foundation features now reaches near-saturation on Camelyon…
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework
Anurag Shandilya, Swapnil Bhat, Akshat Gautam +4
Generative models have proven to be very effective in generating synthetic medical images and find applications in downstream tasks such as enhancing rare disease datasets, long-ta…