Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparing radiologists' gaze and saliency maps generated by
  interpretability methods for chest x-rays   The interpretability of medical image analysis models is considered a key
research field. We use a dataset of eye-tracking data from five radiologists to
compare the outputs of interpretability methods against the heatmaps
representing where radiologists looked. We conduct a class-independent analysis
of the saliency maps generated by two methods selected from the literature:
Grad-CAM and attention maps from an attention-gated model. For the comparison,
we use shuffled metrics, which avoid biases from fixation locations. We achieve
scores comparable to an interobserver baseline in one shuffled metric,
highlighting the potential of saliency maps from Grad-CAM to mimic a
radiologist's attention over an image. We also divide the dataset into subsets
to evaluate in which cases similarities are higher.

26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th