دورية أكاديمية
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Glaucoma Detection through a Novel Hyperspectral Imaging Band Selection and Vision Transformer Integration.

التفاصيل البيبلوغرافية
العنوان: Glaucoma Detection through a Novel Hyperspectral Imaging Band Selection and Vision Transformer Integration.
المؤلفون: Wang CY; Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan., Nguyen HT; Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan., Fan WS; Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan., Lue JH; Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan., Saenprasarn P; School of Nursing, Shinawatra University, 99 Moo 10, Bangtoey, Samkhok, Pathum Thani 12160, Thailand., Chen MM; Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chiayi 62102, Taiwan., Huang SY; Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan., Lin FC; Department of Ophthalmology, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Kaohsiung City 80284, Taiwan., Wang HC; Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan.; Hitspectra Intelligent Technology Co., Ltd., Kaohsiung City 80661, Taiwan.
المصدر: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Jun 18; Vol. 14 (12). Date of Electronic Publication: 2024 Jun 18.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI AG, [2011]-
مستخلص: Conventional diagnostic methods for glaucoma primarily rely on non-dynamic fundus images and often analyze features such as the optic cup-to-disc ratio and abnormalities in specific retinal locations like the macula and fovea. However, hyperspectral imaging techniques focus on detecting alterations in oxygen saturation within retinal vessels, offering a potentially more comprehensive approach to diagnosis. This study explores the diagnostic potential of hyperspectral imaging for glaucoma by introducing a novel hyperspectral imaging conversion technique. Digital fundus images are transformed into hyperspectral representations, allowing for a detailed analysis of spectral variations. Spectral regions exhibiting differences are identified through spectral analysis, and images are reconstructed from these specific regions. The Vision Transformer (ViT) algorithm is then employed for classification and comparison across selected spectral bands. Fundus images are used to identify differences in lesions, utilizing a dataset of 1291 images. This study evaluates the classification performance of models using various spectral bands, revealing that the 610-780 nm band outperforms others with an accuracy, precision, recall, F1-score, and AUC-ROC all approximately at 0.9007, indicating its superior effectiveness for the task. The RGB model also shows strong performance, while other bands exhibit lower recall and overall metrics. This research highlights the disparities between machine learning algorithms and traditional clinical approaches in fundus image analysis. The findings suggest that hyperspectral imaging, coupled with advanced computational techniques such as the ViT algorithm, could significantly enhance glaucoma diagnosis. This understanding offers insights into the potential transformation of glaucoma diagnostics through the integration of hyperspectral imaging and innovative computational methodologies.
References: Genes (Basel). 2021 Sep 11;12(9):. (PMID: 34573386)
Curr Eye Res. 2017 Apr;42(4):557-561. (PMID: 27612016)
Invest Ophthalmol Vis Sci. 2019 Jun 3;60(7):2461-2467. (PMID: 31163088)
Eye (Lond). 2022 Feb;36(2):441-447. (PMID: 33707762)
Am J Ophthalmol. 2022 Apr;236:154-163. (PMID: 34653358)
Adv Exp Med Biol. 2020;1213:121-132. (PMID: 32030667)
Ophthalmol Glaucoma. 2022 May-Jun;5(3):359-368. (PMID: 34718222)
Br J Ophthalmol. 2020 Oct;104(10):1399-1405. (PMID: 31949097)
Cureus. 2020 Nov 24;12(11):e11686. (PMID: 33391921)
Eye (Lond). 2014 Oct;28(10):1190-200. (PMID: 25060843)
Genes (Basel). 2021 Jul 27;12(8):. (PMID: 34440309)
J Glaucoma. 2016 Apr;25(4):e346-54. (PMID: 26766397)
Med Image Anal. 2023 Aug;88:102802. (PMID: 37315483)
Genes (Basel). 2020 Dec 31;12(1):. (PMID: 33396423)
Invest Ophthalmol Vis Sci. 2020 Nov 2;61(13):8. (PMID: 33151281)
Sensors (Basel). 2022 Jan 07;22(2):. (PMID: 35062405)
Am J Ophthalmol. 2021 Jun;226:206-216. (PMID: 33359714)
Comput Methods Programs Biomed. 2022 Nov;226:107141. (PMID: 36162246)
J Clin Med. 2021 Aug 27;10(17):. (PMID: 34501306)
Maturitas. 2022 Sep;163:15-22. (PMID: 35597227)
JAMA. 2021 Jan 12;325(2):164-174. (PMID: 33433580)
Cancers (Basel). 2023 Jul 26;15(15):. (PMID: 37568599)
Br J Ophthalmol. 2021 Sep;105(9):1244-1249. (PMID: 32862132)
Invest Ophthalmol Vis Sci. 2021 Mar 1;62(3):34. (PMID: 33760041)
Clin Optom (Auckl). 2022 Feb 24;14:13-25. (PMID: 35237084)
Curr Eye Res. 2021 Nov;46(11):1717-1723. (PMID: 33910431)
Diagnostics (Basel). 2023 Jul 14;13(14):. (PMID: 37510118)
IEEE Rev Biomed Eng. 2010;3:169-208. (PMID: 22275207)
Am J Ophthalmol. 2021 Sep;229:100-107. (PMID: 33775658)
Ophthalmology. 2016 Jun;123(6):1201-10. (PMID: 27001534)
Comput Methods Programs Biomed. 2020 Aug;192:105341. (PMID: 32155534)
Transl Vis Sci Technol. 2021 May 3;10(6):9. (PMID: 34111254)
J Biophotonics. 2018 Jul;11(7):e201700377. (PMID: 29603665)
Ophthalmology. 2022 Sep;129(9):1043-1055. (PMID: 35469924)
Invest Ophthalmol Vis Sci. 2012 Oct 05;53(11):6904-13. (PMID: 22977136)
Prog Retin Eye Res. 2021 Jan;80:100875. (PMID: 32659431)
Surv Ophthalmol. 2023 Jan-Feb;68(1):17-41. (PMID: 35985360)
Int J Ophthalmol. 2021 Nov 18;14(11):1771-1778. (PMID: 34804869)
Ophthalmology. 2020 Nov;127(11):1487-1497. (PMID: 32417391)
Ophthalmol Glaucoma. 2022 May-Jun;5(3):345-352. (PMID: 34547504)
Alzheimers Dement (N Y). 2019 Oct 14;5:610-617. (PMID: 31650017)
J Cosmet Dermatol. 2020 Nov;19(11):3032-3037. (PMID: 32515874)
Sci Rep. 2024 Jan 30;14(1):2487. (PMID: 38291130)
J Clin Med. 2020 May 26;9(6):. (PMID: 32466524)
Ophthalmology. 2020 Oct;127(10):1322-1330. (PMID: 32423768)
Dtsch Arztebl Int. 2020 Mar 27;117(13):225-234. (PMID: 32343668)
Eye Brain. 2021 Dec 14;13:255-268. (PMID: 34934377)
معلومات مُعتمدة: NSTC 112-2221-E-194-036 National Science and Technology Council of The Republic of China; DTCRD113-C-03 Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation-National Chung Cheng University Joint Research Program
فهرسة مساهمة: Keywords: glaucoma detection; hyperspectral imaging; vision transformer
تواريخ الأحداث: Date Created: 20240627 Latest Revision: 20240629
رمز التحديث: 20240629
مُعرف محوري في PubMed: PMC11202918
DOI: 10.3390/diagnostics14121285
PMID: 38928700
قاعدة البيانات: MEDLINE
الوصف
تدمد:2075-4418
DOI:10.3390/diagnostics14121285