Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Comparative Study on Polyp Classification using Convolutional Neural
  Networks   Colorectal cancer is the third most common cancer diagnosed in both men and
women in the United States. Most colorectal cancers start as a growth on the
inner lining of the colon or rectum, called 'polyp'. Not all polyps are
cancerous, but some can develop into cancer. Early detection and recognition of
the type of polyps is critical to prevent cancer and change outcomes. However,
visual classification of polyps is challenging due to varying illumination
conditions of endoscopy, variant texture, appearance, and overlapping
morphology between polyps. More importantly, evaluation of polyp patterns by
gastroenterologists is subjective leading to a poor agreement among observers.
Deep convolutional neural networks have proven very successful in object
classification across various object categories. In this work, we compare the
performance of the state-of-the-art general object classification models for
polyp classification. We trained a total of six CNN models end-to-end using a
dataset of 157 video sequences composed of two types of polyps: hyperplastic
and adenomatous. Our results demonstrate that the state-of-the-art CNN models
can successfully classify polyps with an accuracy comparable or better than
reported among gastroenterologists. The results of this study can guide future
research in polyp classification.

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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: q-alg
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The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol
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The categories of this paper are: mtrl-th
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The categories of this paper are: quant-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: gr-qc
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The categories of this paper are: math
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The categories of this paper are: atom-ph