Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convolutional Neural Networks for Breast Cancer Screening: Transfer
  Learning with Exponential Decay   In this paper, we propose a Computer Assisted Diagnosis (CAD) system based on
a deep Convolutional Neural Network (CNN) model, to build an end-to-end
learning process that classifies breast mass lesions. We investigate the impact
that has transfer learning when large data is scarce, and explore the proper
way to fine-tune the layers to learn features that are more specific to the new
data. The proposed approach showed better performance compared to other
proposals that classified the same dataset.

34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat