EnhanceZ: Web Service for ENHANCE.PET
Overview
EnhanceZ (ENHANCE-ZOO) is a comprehensive web service designed as the central hub for the ENHANCE.PET software stack. It integrates various specialized tools such as moose, falcon, lion, puma, and more, providing a seamless interface for users to leverage the full capabilities of our PET imaging solutions.
Our goal with EnhanceZ is to simplify access and use of our advanced tools, empowering healthcare professionals and researchers, especially those without programming expertise, to enhance their PET imaging workflows.
Key Features
- Unified Access: Single point of contact for the entire ENHANCE.PET suite.
- User-Friendly Interface: Designed for ease of use, with intuitive navigation and functionality.
- Comprehensive Toolset: Includes a wide range of tools from segmentation to data analysis.
- Web-Based Platform: Accessible from any web browser, no installation required.
- Scalable and Secure: Built to handle extensive datasets while ensuring data security.
Components
EnhanceZ integrates the following tools:
- MOOSE: Multi-organ objective segmentation
- FALCON: Fast Algorithms for motion correction
- LION: Lesion segmentation
- PUMA: PET Universal Multi-tracer alignment.
- And many more... Explore the full capabilities through the EnhanceZ interface.
Getting Started
Requirements
- Modern web browser (Chrome, Firefox, Safari, Edge)
- Internet connection
Installation
EnhanceZ is a web-based service, and no local installation is required. To get started, simply visit EnhanceZ Web Service.
Usage
- Register: Sign up for ENHANCE
- Navigate the Dashboard: Use the intuitive dashboard to explore the available tools.
- Upload Your Data: Securely upload your PET imaging data for processing.
- Select a Tool: Choose from our suite of tools to perform tasks such as segmentation, analysis, or visualization.
- Download Results: Analyze your results directly on the platform or export them for further use.
Contact
For more information, visit our Website
Explore, Analyze, and Elevate with EnhanceZ.
1 maintainer
Metadata
1 maintainer
Release files for enhancez 0.7
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 | |
|---|---|---|---|---|
| enhancez-0.7.tar.gz | 13.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| enhancez-0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.5 kB
Release files / enhancez-0.7.tar.gz
| Download URL | enhancez-0.7.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
44af4c45740001f62f8e8cd6149cf52a1d5c21fd7f55f52d2b586931eebec850
|
|
BLAKE2b-256 checksum How to use checksums |
fec1263ba65d0b93a72ca2a2d842117497d3baa790279efe45c2cfb911011495
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
|
Release files / enhancez-0.7-py3-none-any.whl
| Download URL | enhancez-0.7-py3-none-any.whl |
|---|---|
| Size | 22.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6d550b68f21b769e5a8e94acda8c7a0138afc9b83cc557f4d8a62048bf0ecc25
|
|
BLAKE2b-256 checksum How to use checksums |
b2a71d745e2441c0e5b70deca9a5d599746e1ba209fa1d443ad96717f6a7a243
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
|
Security for enhancez 0.7
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.
