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Abstract

As a part of the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) precision medicine cancer trial, serial biopsies from cancer patients are collected and analyzed to inform treatment and advance the understanding of metastatic cancer. As of now, manual segmentation is a major time limiting factor in EM image analysis for cancer tissue. In order to combat this, there are projects underway to develop machine learning algorithms to automate segmentation. Automation will hopefully allow electron microscope analysis to be a new and informative avenue for cancer research.

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