Physical Sciences and Mathematics Commons^™

Utilizing Few-Shot Meta Learning Algorithms For Medical Image Segmentation, Nick Littlefield

Thinking Matters Symposium

Deep learning models can be difficult to train because they require large amounts of data, which we usually do not have or are too expensive to get or annotate. To overcome this problem, we can use few-shot meta-learning, which allows us to train deep learning models with little data. Using a few examples, meta-learning, or learning-to-learn, aims to use the experience learned during training to generalize to unknown tasks. Medical imaging is an industry where it is particularly useful, as there is limited publicly available data due to patient privacy concerns and annotating costs.

This project examines how meta-learning performs …

Analysis Of Maine’S Coastal Water And Soil Solidity, Corbin Glover

Thinking Matters Symposium

Much of the agriculture conducted in Maine is done near the southeastern coast. This situates many of Maine’s farms in an ecoregion called a ‘brackish tidal marsh,’ containing brackish water. Brackish water can then result in an increasing salinity content for the surrounding agricultural soil, causing complications for crop growth. This proof-of-concept project focuses on identifying the gradient levels of salinity, or EC (Electric Conductivity), contained within a small region of Casco bay. This project's data were collected from the Androscoggin River bordering Brunswick and Bath, Maine. Along this river, three plots were selected in order to gauge the longer …