Date
Spring 2019
Document Type
Poster Session
Department
Computer Science
Advisor
Bruce MacLeod PhD
Keywords
protein patterns, Human Protein Atlas, convolutional neural networks
Abstract
A solution to the Kaggle competition: Human Protein Atlas Image Classification. Using microscopic images of cells provided by the Human Protein Atlas, convolutional neural networks, CNNs, were used to analyze and predict the location of protein patterns. Challenges included working with an unbalanced dataset, finding a correct learning rate, and choosing a correct architecture to solve the problem. To learn how to overcome these challenges and gain more understanding of the problem, various kernels and discussion posts for the competition, as well as papers on different CNN architectures were used.
Start Date
4-19-2019 1:15 PM
Recommended Citation
Littlefield, Nick, "Convolutional Neural Networks for Protein Image Classification" (2019). Thinking Matters Symposium Archive. 208.
https://digitalcommons.usm.maine.edu/thinking_matters/208
