Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation
  GAN   Instance segmentation for unlabeled imaging modalities is a challenging but
essential task as collecting expert annotation can be expensive and
time-consuming. Existing works segment a new modality by either deploying a
pre-trained model optimized on diverse training data or conducting domain
translation and image segmentation as two independent steps. In this work, we
propose a novel Cyclic Segmentation Generative Adversarial Network (CySGAN)
that conducts image translation and instance segmentation jointly using a
unified framework. Besides the CycleGAN losses for image translation and
supervised losses for the annotated source domain, we introduce additional
self-supervised and segmentation-based adversarial objectives to improve the
model performance by leveraging unlabeled target domain images. We benchmark
our approach on the task of 3D neuronal nuclei segmentation with annotated
electron microscopy (EM) images and unlabeled expansion microscopy (ExM) data.
Our CySGAN outperforms both pretrained generalist models and the baselines that
sequentially conduct image translation and segmentation. Our implementation and
the newly collected, densely annotated ExM nuclei dataset, named NucExM, are
available at https://connectomics-bazaar.github.io/proj/CySGAN/index.html.

8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an