Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
.. SPDX-FileCopyrightText: Copyright © 2024 Idiap Research Institute <contact@idiap.ch>
..
.. SPDX-License-Identifier: GPL-3.0-or-later
.. _mednet.baselines:
==================================
Baselines and Pre-trained Models
==================================
We maintain a set of `baseline results <baseline-experiments_>`_ for a few
specific configurations, to serve as the basis of comparison between various
installations, and to give a sense of expected performance for built-in
configurations. For each configuration, it is possible to access performance
figures (as tables and plots), metadata (including the package version used),
as well as a re-usable model file.
.. _mednet.baselines.classify:
Classification baselines
------------------------
.. list-table::
* - Database Config.
- Model Config.
- Link
* - :py:mod:`shenzhen <mednet.config.classify.data.shenzhen.default>`
- :py:mod:`pasa <mednet.config.classify.models.pasa>`
- https://gitlab.idiap.ch/biosignal/software/mednet/-/ml/experiments/42
* - :py:mod:`montgomery-shenzhen-indian-tbx11k-v1 <mednet.config.classify.data.montgomery_shenzhen_indian_tbx11k.v1_healthy_vs_atb>`
- :py:mod:`pasa <mednet.config.classify.models.pasa>`
- https://gitlab.idiap.ch/biosignal/software/mednet/-/ml/experiments/41
* - :py:mod:`shenzhen <mednet.config.classify.data.shenzhen.default>`
- :py:mod:`densenet <mednet.config.classify.models.densenet>`
- https://gitlab.idiap.ch/biosignal/software/mednet/-/ml/experiments/39
* - :py:mod:`montgomery-shenzhen-indian-tbx11k-v1 <mednet.config.classify.data.montgomery_shenzhen_indian_tbx11k.v1_healthy_vs_atb>`
- :py:mod:`densenet <mednet.config.classify.models.densenet>`
- https://gitlab.idiap.ch/biosignal/software/mednet/-/ml/experiments/40
.. include:: links.rst