Deep learning in medical imaging: A bit of demystification

Tan, Li Kuo and Wong, Jeannie Hsiu Ding and Raja Aman, Raja Rizal Azman 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)

Profesor Madya Dr. Jeannie Wong Hsiu Ding_115_KJR_2021_TanLK_AOCR_2021_KJR_abstracts (1).pdf

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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)
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: 12 Oct 2022 01:09

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