Deep Learning Method to Classification Human Protein Atlas

摘要

Image recognition and classification are extremely important tasks in the life sciences. Although machine learning, artificial intelligence, and civic science provide potential solutions to similar problems, analyzing image data more effectively is important with the influx of large amounts of data. Thus, deep learning becomes a better way to solve such problems. Herein, some methods of deep learning are expounded and the result of some analysis of the dataset of human protein maps is discussed. It is hoped that deep learning can accurately identify the images under the microscope and accelerate the development of biomedical technology.