Hoodline

MIT Unveils MultiverSeg, A Groundbreaking AI System to Revolutionize Medical Image Segmentation

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.
IEEE

DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation

Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...

AI system for rapid annotation of medical images could accelerate clinical research

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
IEEE

EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land

Abstract: Scene classification and mapping of surface mining-disturbed land can attain semantic-level information that is useful for monitoring mine geo-environment. Mining land’s complex ...