Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adversarial cycle-consistent synthesis of cerebral microbleeds for data
  augmentation   We propose a novel framework for controllable pathological image synthesis
for data augmentation. Inspired by CycleGAN, we perform cycle-consistent
image-to-image translation between two domains: healthy and pathological.
Guided by a semantic mask, an adversarially trained generator synthesizes
pathology on a healthy image in the specified location. We demonstrate our
approach on an institutional dataset of cerebral microbleeds in traumatic brain
injury patients. We utilize synthetic images generated with our method for data
augmentation in cerebral microbleeds detection. Enriching the training dataset
with synthetic images exhibits the potential to increase detection performance
for cerebral microbleeds in traumatic brain injury patients.

12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio