Team Members:
• Seif Yasser Hassab El Naby
• Bassma El Sherbiney
• Nardeen Nabil
• Youssef Emad
Supervisors
- Dr. Ashraf AbdelRaouf.
- Dr. Taragy Mohiy.
- Eng. Nada Ayman.
Description:
As a matter of a fact identification of tumor/non-tumor patient – the size and location of the tumor if found – can differ from one doctor to another according to their experiences, their back knowledge and the patient’s medical history. BLB (BRAIN/LUNG/BREAST) cancer Detection allows any doctor to take the step to be an experienced doctor as it is no longer a manual process it is a brief of complex operations including preprocess, feature extraction , segmentation and classification that raises the accuracy of tumor detection which increases continuously. And as a conclusion it is about saving lives through high efficiency and low time consumption.
BLB Proposal:
BLB Cancer Detection Proposal PowerPoint
BLB Caner Detection Proposal Document
Software Requirement Specification:
Final Presentations
DEMO
Users Evaluation
Roll-UP
Flyer
IEEE Paper
https://ieeexplore.ieee.org/document/8358213/