A Skin Cancer Information System

Overview: This academic project presents a prototype of a web-based Skin Cancer Information System (SCIS) designed to assist in the early diagnosis and monitoring of skin cancer. The project combines modern web technologies with basic image classification techniques to create a functional, user-friendly tool for healthcare professionals.

Objectives:

• To develop a web system for different types of skin cancer.
• To support users in uploading skin lesion images and receiving classification results.
• To facilitate interaction between users and dermatology specialists for further guidance.
• To ensure secure and easy-to-navigate functionality for a diverse user base.

System Components:

1. User Module:
   • Registration and login functionality.
   • Interface for uploading images of skin lesions.
   • Viewing classification results provided by the system.
   • Option to consult a specialist for additional analysis.
2. Specialist Module:
   • Secure login and dashboard access.
   • Ability to review user-submitted images.
   • Add annotations and feedback for each case.
   • Communicate results and suggestions to the users.
3. Administrator Module:
   • Complete control over user and specialist accounts.
   • Manage educational content displayed on the site.
   • System maintenance and access management.

Technologies Used:

• Frontend: HTML, CSS, JavaScript (React or Bootstrap for responsive design).
• Backend: PHP/Python with MySQL or SQLite.
• Image Processing: Basic image classification model or integration with existing open-source APIs (e.g., TensorFlow Lite models).

Design Considerations:

• Usability: User-friendly interface accommodating all age groups.
• Security: Encrypted storage for user data and secure login sessions.
• Accessibility: Support for Arabic and English users with RTL interface rendering.
• Responsiveness: Fully functional across desktops, tablets, and smartphones.

Impact and Future Work: The SCIS aims to bridge the gap between the general public and dermatology services by providing a low-cost, accessible, and informative tool. It promotes early detection and raises awareness, which are critical for effective treatment. Future improvements could include AI-powered diagnostics, integration with medical databases, mobile app development, and broader public deployment through health sector collaboration.

Publication:

@inproceedings{Alharthi2013,

title = {A prototypical skin cancer information system},

author = {Ahmed D. Alharthi and Peter Busch and Stephen Smith},

url = {https://arxiv.org/pdf/1808.04980},

doi = {https://arxiv.org/abs/1808.04980},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

booktitle = {24th Australasian Conference on Information Systems (ACIS 2013)},

pages = {1--11},

publisher = {RMIT University},

organization = {RMIT University},

abstract = {Skin cancer is a common problem in Australia and indeed around the world. Within the domain of eHealth,

there appears to be no satisfactory clinical software that follows the flow of a normal skin cancer

examination. This paper introduces a system that was specifically designed, coded and implemented to

store patient health records as a means of registering the diagnoses of skin cancer along with the

treatment. The information system was intended to be web-based, and connect to remote database servers.

The implemented system was designed to incorporate features such as inserting procedural details,

generating forms and reports with interactive interfaces, yet be relatively unsophisticated to use. We

expect the system once fully implemented and on line, will aid in Australia’s e-Health industry, delivering

more accurate information to doctors and patients in an effort to combat issues involving skin cancer.

Other parameters discussed are the need for data encryption of medical records and the role such a

system can play in medical information. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@mastersthesis{Alharthi2012,

title = {Skin Cancer Information System (SCIS)},

author = {Ahmed D. Alharthi},

url = {www.clt.mq.edu.au/~rdale/teaching/itec810/2012H1/slides/alharthi.pdf

},

year  = {2012},

date = {2012-01-01},

urldate = {2012-01-01},

school = {Macquarie University },

abstract = { Skin cancer is a common problem in Australia and indeed around the world. Within the domain of e-Health, there appears to be no satisfactory clinical software that follows the flow of a normal skin cancer examination. This talk introduces a system that was specifically designed, coded and implemented to store patient health records as a means of registering the diagnoses of skin cancer along with the treatment. The information system was intended to be web-based, and connect to remote database servers. The implemented system was designed to incorporate features such as inserting procedural details, generating forms and reports with interactive interfaces, yet be relatively unsophisticated to use. We expect the system once fully implemented and on line, will aid in Australia’s e-Health industry, delivering more accurate information to doctors and patients in an effort to combat issues involving skin cancer. Other parameters discussed are the need for data encryption of medical records and the role such a system can play in medical information. },

type = {Master thesis},

keywords = {},

pubstate = {published},

tppubtype = {mastersthesis}

}