This project has been archived by its maintainers, and is no longer receiving any updates.
MedVis
Tools to visualise medical images.
Installation
To install, run
pip install medvisExample
The following example will plot a PET/CT image with alpha blended PET signal ontop of a grayscale CT image. The outline of two masks are shown with a legend that specifies what the different colours represent.
import matplotlib.pyplot as plt
import medvis
ct_image = ...
pet_image = ...
binary_true_mask = ...
binary_pred_mask = ...
true_colour = "tomato"
pred_colour = "skyblue"
blended_pet_image = medvis.apply_cmap_with_blend(pet_image, 'magma')
true_mask_outline = medvis.create_outline(binary_true_mask, width=2, colour=true_colour)
pred_mask_outline = medvis.create_outline(binary_pred_mask, width=2, colour=pred_colour)
fig, ax = plt.subplots()
ax.imshow(ct_image, cmap='gray')
ax.imshow(blended_pet_image)
ax.imshow(true_mask_outline)
ax.imshow(pred_mask_outline)
medvis.create_legend([true_colour, pred_colour], ["True mask", "Predicted mask"], ax=ax)
plt.show()1 maintainer
Metadata
1 maintainer
Release files for medvis 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| medvis-0.0.1.tar.gz | 5.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| medvis-0.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 13.6 kB
Release files / medvis-0.0.1.tar.gz
| Download URL | medvis-0.0.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1eefa44ddcfa35a28cf9ca911727265336abf90f1df76c8eac9ecd93708b17c1
|
|
BLAKE2b-256 checksum How to use checksums |
e4329afb476a15964d16b5c8a162b76c7f4a53283b8909c9e090393cb3e5bb79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.4
|
Release files / medvis-0.0.1-py2.py3-none-any.whl
| Download URL | medvis-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 8.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
ac9fbc701ee1a3672816a2fb4cca02e9073f6561718b1242ba997268545c5348
|
|
BLAKE2b-256 checksum How to use checksums |
2e58b68575522f4922bf9bdbe3fb8440b0637ea61b623b4f2d65ecc45f7c3699
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.4
|
Security for medvis 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
