Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SAME: Deformable Image Registration based on Self-supervised Anatomical
  Embeddings   In this work, we introduce a fast and accurate method for unsupervised 3D
medical image registration. This work is built on top of a recent algorithm
SAM, which is capable of computing dense anatomical/semantic correspondences
between two images at the pixel level. Our method is named SAME, which breaks
down image registration into three steps: affine transformation, coarse
deformation, and deep deformable registration. Using SAM embeddings, we enhance
these steps by finding more coherent correspondences, and providing features
and a loss function with better semantic guidance. We collect a multi-phase
chest computed tomography dataset with 35 annotated organs for each patient and
conduct inter-subject registration for quantitative evaluation. Results show
that SAME outperforms widely-used traditional registration techniques (Elastix
FFD, ANTs SyN) and learning based VoxelMorph method by at least 4.7% and 2.7%
in Dice scores for two separate tasks of within-contrast-phase and
across-contrast-phase registration, respectively. SAME achieves the comparable
performance to the best traditional registration method, DEEDS (from our
evaluation), while being orders of magnitude faster (from 45 seconds to 1.2
seconds).

17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg