Add a short description here!
Project description
breast-cancer-toolkit
Machine learning toolkit designed to support radiologists and oncologists in breast cancer detection and analysis.
Note
This project has been set up using PyScaffold 4.4. For details and usage information on PyScaffold see https://pyscaffold.org/.
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
File details
Details for the file breast-cancer-toolkit-0.0.1.tar.gz
.
File metadata
- Download URL: breast-cancer-toolkit-0.0.1.tar.gz
- Upload date:
- Size: 19.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 787dc2068613ce28eba359651ce1a642d4d939e3e60e75c218ebb87dd91b9dea |
|
MD5 | 0a5b49af5a10c664d854db8cb2aa46f5 |
|
BLAKE2b-256 | 077e091998654bd5a899c2a9bbc19dc50126ab14780faca45a4c95903eab5470 |
File details
Details for the file breast_cancer_toolkit-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: breast_cancer_toolkit-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 848e7bb56989889d00b0633863230a131443920097ea5025aa5b8b0a64e48d92 |
|
MD5 | e4bc4a891ac005121a0aa39bc023c1ac |
|
BLAKE2b-256 | 6ed8f607ea85d2e744beebd628755b4e66dbc985e8dea0cfb226b4a6e9604709 |