Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images

doi:10.1016/j.cmpb.2024.108368

	Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images
	Huang, Jingqi 1,2; Zhang, Xiaoqing 1,2,3,4; Jin, Richu 1,2; Xu, Tao 5,6,7; Jin, Zi 8,9; Shen, Meixiao 8,9; Lv, Fan 6,7,8,9; Chen, Jiangfan 5,6,7; Liu, Jiang 1,2,5,10
	2024-11-01
发表期刊	COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
ISSN	0169-2607
卷号	256 页码:13
摘要	Background and Objective: Parkinson's disease (PD) is one of the most prevalent neurodegenerative brain diseases worldwide. Therefore, accurate PD screening is crucial for early clinical intervention and treatment. Recent clinical research indicates that changes in pathology, such as the texture and thickness of the retinal layers, can serve as biomarkers for clinical PD diagnosis based on optical coherence tomography (OCT) images. However, the pathological manifestations of PD in the retinal layers are subtle compared to the more salient lesions associated with retinal diseases. Methods: Inspired by textural edge feature extraction in frequency domain learning, we aim to explore a potential approach to enhance the distinction between the feature distributions in retinal layers of PD cases and healthy controls. In this paper, we introduce a simple yet novel wavelet-based selection and recalibration module to effectively enhance the feature representations of the deep neural network by aggregating the unique clinical properties, such as the retinal layers in each frequency band. We combine this module with the residual block to form a deep network named Wavelet-based Selection and Recalibration Network (WaveSRNet) for automatic PD screening. Results: The extensive experiments on a clinical PD-OCT dataset and two publicly available datasets demonstrate that our approach outperforms state-of-the-art methods. Visualization analysis and ablation studies are conducted to enhance the explainability of WaveSRNet in the decision-making process. Conclusions: Our results suggest the potential role of the retina as an assessment tool for PD. Visual analysis shows that PD-related elements include not only certain retinal layers but also the location of the fovea in OCT images.
关键词	Deep learning Parkinson's disease screening Discrete wavelet transform
DOI	10.1016/j.cmpb.2024.108368
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[82272086] ; National Natural Science Foundation of China[62101236] ; Leading Goose Program of Zhejiang[2023C03079] ; Shenzhen Natural Science Fund[JCYJ20200109140820699] ; Shenzhen Natural Science Fund[20200925174052004]
WOS研究方向	Computer Science ; Engineering ; Medical Informatics
WOS类目	Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods ; Engineering, Biomedical ; Medical Informatics
WOS记录号	WOS:001298053400001
出版者	ELSEVIER IRELAND LTD
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39624
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Jiang
作者单位	1.Southern Univ Sci & Technol, Res Inst Trustworthy Autonomous Syst, Shenzhen 518055, Peoples R China 2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China 3.Chinese Acad Sci, Ctr High Performance Comp, Shenzhen 518055, Peoples R China 4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen Key Lab Intelligent Bioinformat, Shenzhen 518055, Peoples R China 5.Wenzhou Med Univ, State Key Lab Ophthalmol Optometry & Vis Sci, Wenzhou, Zhejiang, Peoples R China 6.Oujiang Lab, 270 Xueyuan Rd, Wenzhou, Zhejiang, Peoples R China 7.Wenzhou Med Univ, Affiliated Eye Hosp, 270 Xueyuan Rd, Wenzhou 325027, Zhejiang, Peoples R China 8.Wenzhou Med Univ, Eye Hosp, Natl Engn Res Ctr Ophthalmol & Optometry, Wenzhou, Peoples R China 9.Wenzhou Med Univ, Eye Hosp, Natl Clin Res Ctr Ocular Dis, Wenzhou, Peoples R China 10.Singapore Eye Res Inst, Singapore 169856, Singapore
推荐引用方式 GB/T 7714	Huang, Jingqi,Zhang, Xiaoqing,Jin, Richu,et al. Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,2024,256:13.
APA	Huang, Jingqi.,Zhang, Xiaoqing.,Jin, Richu.,Xu, Tao.,Jin, Zi.,...&Liu, Jiang.(2024).Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,256,13.
MLA	Huang, Jingqi,et al."Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images".COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 256(2024):13.