Diverse COVID‑19 CT image‑to‑image translation with stacked residual dropout

Kin, Wai Lee and Chin, Renee Ka Yin (2022) Diverse COVID‑19 CT image‑to‑image translation with stacked residual dropout. Bioengineering, 9. pp. 1-32.

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Abstract

Machine learning models are renowned for their high dependency on a large corpus of data in solving real‑world problems, including the recent COVID‑19 pandemic. In practice, data acquisition is an onerous process, especially in medical applications, due to lack of data availabil‑ ity for newly emerged diseases and privacy concerns. This study introduces a data synthesization framework (sRD‑GAN) that generates synthetic COVID‑19 CT images using a novel stacked‑residual dropout mechanism (sRD). sRD‑GAN aims to alleviate the problem of data paucity by generating synthetic lung medical images that contain precise radiographic annotations. The sRD mechanism is designed using a regularization‑based strategy to facilitate perceptually significant instance‑level di‑ versity without content‑style attribute disentanglement. Extensive experiments show that sRD‑GAN can generate exceptional perceptual realism on COVID‑19 CT images examined by an experiment radiologist, with an outstanding Fréchet Inception Distance (FID) of 58.68 and Learned Perceptual Image Patch Similarity (LPIPS) of 0.1370 on the test set. In a benchmarking experiment, sRD‑GAN shows superior performance compared to GAN, CycleGAN, and one‑to‑one CycleGAN. The encour‑ aging results achieved by sRD‑GAN in different clinical cases, such as community‑acquired pneu‑ monia CT images and COVID‑19 in X‑ray images, suggest that the proposed method can be easily extended to other similar image synthetization problems.

Item Type:	Article
Keyword:	COVID‑19, Image synthesis, Chest computed tomography, Generative adversarial networks
Subjects:	R Medicine > RC Internal medicine > RC31-1245 Internal medicine > RC581-951 Specialties of internal medicine > RC705-779 Diseases of the respiratory system T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA401-492 Materials of engineering and construction. Mechanics of materials
Department:	FACULTY > Faculty of Engineering
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	16 Dec 2024 11:28
Last Modified:	16 Dec 2024 11:28
URI:	https://eprints.ums.edu.my/id/eprint/42278

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