This package includes inference codes supporting Super-resolution image and mask interpolations.
Project description
Designed for medical imaging data preprocesing, two types of normalization are implemented:
Medical imaging mask inerpolation.
SR image interpolation through Z directions (i.e., thick-slices to thin-slices) with arbitrary user-selected sampling ratios.
from KevinSR import mask_interpolation, SOUP_GAN
# for mask interp new_masks = mask_interpolation(masks, factor)
# for SR image interp thin_slices = SOUP_GAN(thick_slices, factor)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
KevinSR-0.1.5.tar.gz
(3.0 kB
view details)
File details
Details for the file KevinSR-0.1.5.tar.gz.
File metadata
- Download URL: KevinSR-0.1.5.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
114bd6479aa3a68ea99910c8fc7974b596853d3f110163e316af1e05bd4a2dbf
|
|
| MD5 |
6a9430b974f234e4dcb4d39dce98de2f
|
|
| BLAKE2b-256 |
b36a0b3503034f94a006bbaaa4b0bad88dd0c28960cf3df2fcf9a432b53c4d3c
|
