Tumor Prediction system
"Tumor Prediction System" is a freelance project leveraging Python and AI algorithms for MRI image analysis, enabling accurate tumor prediction. Developed to fulfill client needs, it exemplifies expertise in medical AI solutions and Python programming.
The Tumor Prediction System, a freelance project, was developed using Python and AI algorithms to analyze MRI images for tumor detection and classification. Employing the SRCNN model for prediction, the system utilizes computer vision techniques for image processing and manipulation, enabling accurate tumor identification and classification.
Key Features:
Utilized Python and AI algorithms to create a Tumor Prediction System for analyzing MRI images.
Implemented the SRCNN model for accurate prediction of tumor presence and classification.
Leveraged computer vision techniques for image processing and manipulation to enhance analysis precision.
Tailored the system to fulfill client requirements for predicting tumor occurrence and identifying tumor types from MRI scans.
Demonstrated expertise in medical image analysis, AI algorithms, and Python programming for healthcare applications.
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Technologies Used:
Python: Programming language utilized for system development, algorithm implementation, and data analysis.
AI Algorithms: Employed artificial intelligence techniques for tumor detection and classification from MRI images.
SRCNN Model: Utilized the Super-Resolution Convolutional Neural Network model for accurate tumor prediction.
Computer Vision: Implemented computer vision algorithms for image processing, enhancing tumor identification accuracy.
MRI Imaging: Analyzed MRI images to identify tumor presence and classify tumor types for medical diagnosis.
Git Link
