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-0.1.1.tar.gz
(3.0 kB
view details)
File details
Details for the file KevinSR-0.1.1.tar.gz.
File metadata
- Download URL: KevinSR-0.1.1.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 |
a1368190e2743b7eac627c3271cca0854088fe1cff3bc1426b34d0b31859b396
|
|
| MD5 |
93f4b7aed5360a418f2b355476584a91
|
|
| BLAKE2b-256 |
ef6cdff6a14e76c6e76fc08aa556339d6f357650817eaff4d064a6c6fd0552a8
|
