Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mini-DDSM: Mammography-based Automatic Age Estimation   Age estimation has attracted attention for its various medical applications.
There are many studies on human age estimation from biomedical images. However,
there is no research done on mammograms for age estimation, as far as we know.
The purpose of this study is to devise an AI-based model for estimating age
from mammogram images. Due to lack of public mammography data sets that have
the age attribute, we resort to using a web crawler to download thumbnail
mammographic images and their age fields from the public data set; the Digital
Database for Screening Mammography. The original images in this data set
unfortunately can only be retrieved by a software which is broken.
Subsequently, we extracted deep learning features from the collected data set,
by which we built a model using Random Forests regressor to estimate the age
automatically. The performance assessment was measured using the mean absolute
error values. The average error value out of 10 tests on random selection of
samples was around 8 years. In this paper, we show the merits of this approach
to fill up missing age values. We ran logistic and linear regression models on
another independent data set to further validate the advantage of our proposed
work. This paper also introduces the free-access Mini-DDSM data set.

20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph