Deep learning in medical imaging: A bit of demystification
For practitioners in the field of medical imaging to gain basic understanding about the technique of deep learning (DL); to understand its basic premise, approach, and implementation. DL is an AI technique where computers are trained to solve a problem by iterating millions of times over a set of tr...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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| Online Access: | http://eprints.um.edu.my/35237/1/Profesor%20Madya%20Dr.%20Jeannie%20Wong%20Hsiu%20Ding_115_KJR_2021_TanLK_AOCR_2021_KJR_abstracts%20%281%29.pdf http://eprints.um.edu.my/35237/ |
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| Summary: | For practitioners in the field of medical imaging to gain basic understanding about the technique of deep learning (DL); to understand its basic premise, approach, and implementation. DL is an AI technique where computers are trained to solve a problem by iterating millions of times over a set of training examples. If a practitioner can define their problem’s inputs and desired outputs numerically and collect large quantities of example data, then DL is relatively easy to implement and will likely give good results. |
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