The Segment Anything Model (SAM) exhibits a capability to segment a wide...
Modern medical image segmentation methods primarily use discrete
represe...
Spatiotemporal learning, which aims at extracting spatiotemporal correla...
Understanding of spatial attributes is central to effective 3D radiology...
Convolutional neural network (CNN) based methods have achieved great
suc...
High annotation costs and limited labels for dense 3D medical imaging ta...
We introduce polyhedra circuits. Each polyhedra circuit characterizes a
...
We develop an randomized approximation algorithm for the size of set uni...