Embedding of whole slide images with PRISM
Project description
prism-embedder
🛠️ Installation
System requirements: Linux-based OS (e.g., Ubuntu 22.04) with Python 3.10+ and Docker installed.
We recommend running the script inside a container using the latest prism_embedder image from Docker Hub:
docker pull waticlems/prism_embedder:latest
docker run --rm -it \
-v /path/to/your/slide.tif:/input/images/whole-slide-image/slide.tif \
-v /path/to/your/mask.tif:/input/images/tissue-mask/mask.tif \
waticlems/prism_embedder:latest
Update the command with the path pointing to your slide & tissue mask.
Alternatively, you can install prism-embedder via pip:
pip install prism-embedder
TODO
- [] save feature in
.jsoncompatible with GC interface - [] update interface slug based on new interface request (whole-slide image and whole-slide tiling visualization)
- [] plot tSNE for a few slides to debug implementation
Project details
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file prism_embedder-1.1.0.tar.gz.
File metadata
- Download URL: prism_embedder-1.1.0.tar.gz
- Upload date:
- Size: 54.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
198ca2d5a3d3cfe278a0b2f6ccbd226e5d4ea1a7d7b98c8bfdf18a5f9af62f43
|
|
| MD5 |
2164add65b2ac02cd45fbda097cebf9f
|
|
| BLAKE2b-256 |
86f6b2c5630a4b3c9e3dcdce1e00876f9be744c2f6d3eb8139c734b46e916d47
|
File details
Details for the file prism_embedder-1.1.0-py3-none-any.whl.
File metadata
- Download URL: prism_embedder-1.1.0-py3-none-any.whl
- Upload date:
- Size: 63.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de70fe8809bb14700cba8a31bae9d3fd48f9f41ce4eb118d38f2dbe07f30c249
|
|
| MD5 |
0efadc4d214d35f799fa613544d3c2cd
|
|
| BLAKE2b-256 |
bb5ff2878abc9659a0443cd16f7a0661cd8c26e8695265656150c94a8398e645
|