Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CAIPI in Practice: Towards Explainable Interactive Medical Image
  Classification   Would you trust physicians if they cannot explain their decisions to you?
Medical diagnostics using machine learning gained enormously in importance
within the last decade. However, without further enhancements many
state-of-the-art machine learning methods are not suitable for medical
application. The most important reasons are insufficient data set quality and
the black-box behavior of machine learning algorithms such as Deep Learning
models. Consequently, end-users cannot correct the model's decisions and the
corresponding explanations. The latter is crucial for the trustworthiness of
machine learning in the medical domain. The research field explainable
interactive machine learning searches for methods that address both
shortcomings. This paper extends the explainable and interactive CAIPI
algorithm and provides an interface to simplify human-in-the-loop approaches
for image classification. The interface enables the end-user (1) to investigate
and (2) to correct the model's prediction and explanation, and (3) to influence
the data set quality. After CAIPI optimization with only a single
counterexample per iteration, the model achieves an accuracy of $97.48\%$ on
the Medical MNIST and $95.02\%$ on the Fashion MNIST. This accuracy is
approximately equal to state-of-the-art Deep Learning optimization procedures.
Besides, CAIPI reduces the labeling effort by approximately $80\%$.

25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th