Design Of Multimodality Imaging System Using Machine Learning
DOI:
https://doi.org/10.54228/4mkr5106Keywords:
Employee Grievances, Causes of Grievance, Nature of grievance, Grievance Handling Procedure.Abstract
This paper presents a multimodality imaging system designed using machine learning techniques. The system integrates various imaging modalities, such as MRI, CT, PET, ultrasound, and optical imaging, to improve image acquisition, reconstruction, analysis, and interpretation. It follows a comprehensive framework that includes data preprocessing, image fusion, feature extraction, machine learning algorithms, model integration, system evaluation, and iterative refinement. The proposed system has the potential to enhance diagnostic accuracy and treatment planning, leading to improved patient outcomes.
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