Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Finding and Following of Honeycombing Regions in Computed Tomography
  Lung Images by Deep Learning   In recent years, besides the medical treatment methods in medical field,
Computer Aided Diagnosis (CAD) systems which can facilitate the decision making
phase of the physician and can detect the disease at an early stage have
started to be used frequently. The diagnosis of Idiopathic Pulmonary Fibrosis
(IPF) disease by using CAD systems is very important in that it can be followed
by doctors and radiologists. It has become possible to diagnose and follow up
the disease with the help of CAD systems by the development of high resolution
computed imaging scanners and increasing size of computation power. The purpose
of this project is to design a tool that will help specialists diagnose and
follow up the IPF disease by identifying areas of honeycombing and ground glass
patterns in High Resolution Computed Tomography (HRCT) lung images. Creating a
program module that segments the lung pair and creating a self-learner deep
learning model from given Computed Tomography (CT) images for the specific
diseased regions thanks to doctors are the main purposes of this work. Through
the created model, program module will be able to find special regions in given
new CT images. In this study, the performance of lung segmentation was tested
by the S{\o}rensen-Dice coefficient method and the mean performance was
measured as 90.7%, testing of the created model was performed with data not
used in the training stage of the CNN network, and the average performance was
measured as 87.8% for healthy regions, 73.3% for ground-glass areas and 69.1%
for honeycombing zones.

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The categories of this paper are: mtrl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: supr-con
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The categories of this paper are: adap-org
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The categories of this paper are: math-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: ao-sci
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The categories of this paper are: math
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The categories of this paper are: solv-int