Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
mednet
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package Registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
medai
software
mednet
Commits
8e7ce463
Commit
8e7ce463
authored
9 months ago
by
Daniel CARRON
Committed by
André Anjos
8 months ago
Browse files
Options
Downloads
Patches
Plain Diff
[segmentation.models] Fix docstrings
parent
d4d28b03
No related branches found
No related tags found
1 merge request
!46
Create common library
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
src/mednet/libs/segmentation/config/models/unet.py
+8
-4
8 additions, 4 deletions
src/mednet/libs/segmentation/config/models/unet.py
with
8 additions
and
4 deletions
src/mednet/libs/segmentation/config/models/unet.py
+
8
−
4
View file @
8e7ce463
# SPDX-FileCopyrightText: Copyright © 2024 Idiap Research Institute <contact@idiap.ch>
# SPDX-FileCopyrightText: Copyright © 2024 Idiap Research Institute <contact@idiap.ch>
#
#
# SPDX-License-Identifier: GPL-3.0-or-later
# SPDX-License-Identifier: GPL-3.0-or-later
"""
Little W-Net for image segmentation.
The Little W-Net architecture contains roughly around 70k parameters and
"""
U-Net for image segmentation.
closely matches (or outperforms) other more complex techniques.
Reference: [GALDRAN-2020]_
U-Net is a convolutional neural network that was developed for biomedical image
segmentation at the Computer Science Department of the University of Freiburg,
Germany. The network is based on the fully convolutional network (FCN) and its
architecture was modified and extended to work with fewer training images and
to yield more precise segmentations.
Reference: [RONNEBERGER-2015]_
"""
"""
from
mednet.libs.segmentation.engine.adabound
import
AdaBound
from
mednet.libs.segmentation.engine.adabound
import
AdaBound
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment