Ένας οδηγός για τη Βαθιά Μάθηση στην υγειονομική περίθαλψη
Date Issued
February 12, 2021
Type
Πτυχιακή Εργασία
Abstract
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. In this article we describe how these computational techniques can impact a few key areas of medicine. Our discussion of computer vision focuses largely on medical imaging. Furthermore, is described the application of natural language processing to domains such as electronic health record data. In addition, the applications of reinforcement learning in the context of robotic assisted surgery are discussed and at the same time generalized methods of deep learning in the field of Genomics are examined. All subfields of Machine Learning, such as Deep Learning, are examined and analyzed in detail.
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Name
ΠΕ_ΤΞΓΜΔ_ΛΕΝΓΚΟΥ_ΓΕΩΡΓΙΑ.pdf
Description
Πτυχιακή Εργασία
Size
1.03 MB
Format
Adobe PDF
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(MD5):7188f2414a76425da5b018927538f7de