Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pollen Grain Microscopic Image Classification Using an Ensemble of
  Fine-Tuned Deep Convolutional Neural Networks   Pollen grain micrograph classification has multiple applications in medicine
and biology. Automatic pollen grain image classification can alleviate the
problems of manual categorisation such as subjectivity and time constraints.
While a number of computer-based methods have been introduced in the literature
to perform this task, classification performance needs to be improved for these
methods to be useful in practice.
  In this paper, we present an ensemble approach for pollen grain microscopic
image classification into four categories: Corylus Avellana well-developed
pollen grain, Corylus Avellana anomalous pollen grain, Alnus well-developed
pollen grain, and non-pollen (debris) instances. In our approach, we develop a
classification strategy that is based on fusion of four state-of-the-art
fine-tuned convolutional neural networks, namely EfficientNetB0,
EfficientNetB1, EfficientNetB2 and SeResNeXt-50 deep models. These models are
trained with images of three fixed sizes (224x224, 240x240, and 260x260 pixels)
and their prediction probability vectors are then fused in an ensemble method
to form a final classification vector for a given pollen grain image.
  Our proposed method is shown to yield excellent classification performance,
obtaining an accuracy of of 94.48% and a weighted F1-score of 94.54% on the
ICPR 2020 Pollen Grain Classification Challenge training dataset based on
five-fold cross-validation. Evaluated on the test set of the challenge, our
approach achieved a very competitive performance in comparison to the top
ranked approaches with an accuracy and a weighted F1-score of 96.28% and
96.30%, respectively.

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The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
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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: dg-ga
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The categories of this paper are: funct-an
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th