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Machine Learning Classification Technique of Medical Image Classification for Stroke

Published on the September 01, 2021 in Engineering & Manufacturing

About this project

Open

Objectives of the Research
1.    To segment medical images to aid ischemic stroke treatment decision making.
2.    To characterize parameters of features extraction.
3.    To design a new machine learning technique that offers classification of the segmented medical image with high accuracies, reduce memory size and computation complexity.

Methodology       

1.    Phase 1: Data collection
2.    Phase 2: Designing Optimum Pre-processing Stage
3.
Phase 3: Automatic Segmentation using Machine Learning
4.    Phase 4: Features Extraction
5.    Phase 5: Classification

Category Engineering & Manufacturing
Subcategory Other
Project size Medium
Is this a project or a position? Project
Required availability As needed

Delivery term: Not specified

Skills needed

Architecture AutoCAD Civil Engineering

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