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Magnetic Resonance Imaging (MRI) allows for the noninvasive exploration of animal and human anatomy. The focus of this project was to evaluate automatic segmentation rout [...]

The goal of this project was to evaluate the feasibility of machine learning methods based on feature extraction and classification for differentiating benign and maligna [...]

This thesis presents a suite of deep learning frameworks designed to address key challenges in the analysis of Electron Microscopy (EM) images of cancer cells, which are [...]

The detection of cancer at its early stages requires the analysis of new biomarkers that are specific to the tumor and have less background than conventional biomarkers. [...]

Attenuation correction (AC) in PET/MR imaging significantly alters the displayed PET signal. Modern AC methods forgo the process of directly calculating attenuation throu [...]

Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

Medical images provide a non-invasive means of assessing structural and functional changes within the human body. They are a rich source of information on the internal bo [...]

As a part of the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) precision medicine cancer trial, serial biopsies from cancer patients ar [...]

Our project is based on CT Head images as opposed to spine images utilized by Dr. Pusic for his presentation during the Slice of Life Conference. Web logs will be used t [...]