A Deep Representation Learning Framework for Medical Imaging Data Analysis
2020
Citations Over Time
Abstract
This thesis studies representation learning for medical imaging data analysis. We propose a deep learning framework that is composed of data representation and feature learning. The data representation module deals with challenges arising from the need to analyze the various types of data from medical imaging. Examples of such data include 1D physiological signals, 2D high-resolution images and 3D human shape. Heart Institute. Prof. Xiaodan Zhu gave me advice on integrating deep learning with many applications. I have learned from Dr.
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