الباحثون

Radu Timofte

المنشورات 2

نسخة أولية وصول مفتوح

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise decoder. LightMIS aligns the outputs of a five-level encoder to a common resolution using Scale-Aligned Projection blocks, aggregates them once, and refines the fused …

المؤلفون المشاركون