Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional
  GANs   Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers.
The detection of IDC is a necessary preprocessing step in determining the
aggressiveness of the cancer, determining treatment protocols, and predicting
patient outcomes, and is usually performed manually by an expert pathologist.
Here, we describe a novel algorithm for automatically detecting IDC using
semi-supervised conditional generative adversarial networks (cGANs). The
framework is simple and effective at improving scores on a range of metrics
over a baseline CNN.

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The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
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The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex