Tan, Li Kuo and Wong, Jeannie Hsiu Ding and Raja Aman, Raja Rizal Azman (2021) Deep learning in medical imaging: A bit of demystification. In: 19th Asian Oceanian Congress of Radiology Incorporating Malaysian Congress of Radiology, 1-4 July 2021, Kuala Lumpur (Virtual). (Submitted)
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Profesor Madya Dr. Jeannie Wong Hsiu Ding_115_KJR_2021_TanLK_AOCR_2021_KJR_abstracts (1).pdf Download (64kB) | Preview |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Deep learning; Medical imaging; Demystification |
| Subjects: | R Medicine > R Medicine (General) |
| Divisions: | Faculty of Medicine > Biomedical Imaging Department |
| Depositing User: | Ms Noorsuzila Mohamad |
| Date Deposited: | 07 Oct 2022 06:24 |
| Last Modified: | 14 Apr 2025 00:54 |
| URI: | http://eprints.um.edu.my/id/eprint/35237 |
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