Concept of Medical Images and Machine Learning Proposal
VerifiedAdded on 2023/01/10
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AI Summary
This dissertation proposal explores the application of medical images and machine learning, specifically focusing on its importance and usefulness within the medical field. The research, conducted at Broomfield Hospital, aims to investigate the concept of medical imaging and machine learning, including deep learning techniques for image analysis. The proposal outlines the background, problem statement, research aims and objectives, rationale, and research questions. It includes a literature review, proposed research methodologies, and a preliminary time schedule. The study intends to evaluate the advantages and disadvantages of Convolutional Neural Networks in computer vision and explore how these can be better utilized for deep learning within a medical context, contributing to improved patient care and diagnostic accuracy. The research aims to address the challenges faced by healthcare professionals in tracking illness progress and leveraging the potential of AI to improve patient outcomes.
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