Skip to main content

An AI-powered DICOM viewer for CT, MRI, and PET images built by medical physics students.

Project description

PhyDCM - Medical Imaging AI

Banner

PhyDCM is a research-driven project developed by a passionate team of Medical Physics students from the University of Al-Qadisiyah.
Our aim is to create cutting-edge tools that utilize artificial intelligence to enhance medical image processing and analysis.


👨‍🔬 Team Members

  • Mohammed Hadi

  • Mohammed Hassan

  • Haider Ali

  • Ali Hussein

  • Supervised by Dr. Hayder Saad

Department of Medical Physics – University of Al-Qadisiyah


🧠 Project Vision

To build smart, accessible software tools that assist doctors and radiologists in analyzing DICOM medical images, using interactive visualization and AI-based diagnostics.


📷 Logo

Logo


📂 Features

  • DICOM viewer with interactive video browsing.
  • Multi-modality support: CT, MRI, PET.
  • AI-ready design for segmentation and classification.
  • Clean, user-friendly UI.

🚀 Getting Started

  1. Clone the repo
  2. Install requirements
  3. Run the app

📦 Installation via pip

pip install phydcm

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

phydcm-2.4.0.tar.gz (96.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

phydcm-2.4.0-py3-none-any.whl (96.6 MB view details)

Uploaded Python 3

File details

Details for the file phydcm-2.4.0.tar.gz.

File metadata

  • Download URL: phydcm-2.4.0.tar.gz
  • Upload date:
  • Size: 96.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for phydcm-2.4.0.tar.gz
Algorithm Hash digest
SHA256 75f398e9439151eef73c0bd2d30c3543061e0594c48511b838265810acb3f558
MD5 9f3ff9a7a2c6df51d1afde54eb14d7b7
BLAKE2b-256 8caa2fbcc7c7236845b335ed4fd66850fdab6a4c5ea4008dbaaed3738468931d

See more details on using hashes here.

File details

Details for the file phydcm-2.4.0-py3-none-any.whl.

File metadata

  • Download URL: phydcm-2.4.0-py3-none-any.whl
  • Upload date:
  • Size: 96.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for phydcm-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b6ef98f9c6572919db818af8793c50ea89596e3236d7ff837bb83689a113c3f4
MD5 520fd49b982de6b74665ae44a6d8dab9
BLAKE2b-256 9c8e66a22139e25e4817191119cb703baa31d17f37892d162ff2731d33ef5530

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page