zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-850Research ArticleАННОТАЦИИ АНГЛОЯЗЫЧНЫХ СТАТЕЙABSTRACTS ENGLISH-LANGUAGE ARTICLESАнализ и классификация инфекций гепатита с использованием спектроскопии комбинационного рассеяния и многомасштабных сверточных нейронных сетейAnalysis and Classification of Hepatitis Infections Using Raman Spectroscopy and Multi-Scale Convolutional Neural NetworksZhaoY.ZhaoY.

Урумчи 830000

Key Laboratory of Software Engineering Technology

Urumqi 830000

TianSh.TianSh.

Урумчи 830000

Key Laboratory of Software Engineering Technology

aleary@vip.qq.comYuL.YuL.

Урумчи, 830000

Urumqi 830000

ZhangZh.ZhangZh.

Урумчи, 830000

Urumqi 830000

ZhangW.ZhangW.

Урумчи, 830000

Key Laboratory of Software Engineering Technology

Urumqi 830000

Синьцзянский университетXinjiang UniversityКолледж программной инженерии университета СиньцзянCollege of Software Engineering at Xin Jiang UniversityПервая больница Синьцзянского медицинского университетаThe First Affiliated Hospital of Xinjiang Medical University202129052021882338(1)-338(11)Copyright © Zhao Y., Tian S., Yu L., Zhang Z., Zhang W., 20212021Zhao Y., Tian S., Yu L., Zhang Z., Zhang W.Zhao Y., Tian S., Yu L., Zhang Z., Zhang W.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/850

Предложен метод анализа и классификации случаев вируса гепатита B (HBV) и C (HCV) с использованием спектроскопии комбинационного рассеяния и многомасштабной сверточной нейронной сети (ММСНС). Проанализированы образцы сыворотки пациентов, инфицированных HBV (435 случаев) и HCV (374 случая), и здоровых людей (499 случаев). Различия между пиками в измеренных КР-спектрах сыворотки указывают на конкретные биомолекулярные различия между группами. Размерность спектральных данных уменьшена за счет анализа главных компонент, к полученным признакам применена нормализация. Полученные признаки использованы для обучения различных классификаторов, а именно ММСНС, одномасштабной сверточной нейронной сети и других традиционных классификаторов. Модель ММСНС имеет лучшие результаты с четкостью 98.89%, чувствительностью 97.44%, специфичностью 94.54% и точностью 94.92%. Показано, что спектральный анализ комбинационного рассеяния и ММСНС могут быть эффективно использованы для быстрого скрининга гепатитов B и C.

Hepatitis infections represent a major health concern worldwide. Numerous computer-aided approaches have been devised for the early detection of hepatitis. In this study, we propose a method for the analysis and classification of cases of hepatitis-B virus (HBV), hepatitis-C virus (HCV), and healthy subjects using Raman spectroscopy and a multi-scale convolutional neural network (MSCNN). In particular, serum samples of HBV-infected patients (435 cases), HCV-infected patients (374 cases), and healthy persons (499 cases) are analyzed via Raman spectroscopy. The differences between Raman peaks in the measured serum spectra indicate specific biomolecular differences among the three classes. The dimensionality of the spectral data is reduced through principal component analysis. Subsequently, features are extracted, and then feature normalization is applied. Next, the extracted features are used to train different classifiers, namely MSCNN, a single-scale convolutional neural network, and other traditional classifiers. Among these classifiers, the MSCNN model achieved the best outcomes with a precision of 98.89%, sensitivity of 97.44%, specificity of94.54%, and accuracy of94.92%. Overall, the results demonstrate that Raman spectral analysis and MSCNN can be effectively utilized for rapid screening of hepatitis B and C cases.

многомасштабная сверточная нейронная сетьгепатит Вгепатит Сспектроскопия комбинационного рассеянияmulti-scale convolutional neural networkhepatitis-Bhepatitis-CRaman spectroscopyThis work was supported by the National Natural Science Foundation of China (NSFC) (No. 61765014); Reserve Talents Project of National High-level Personnel of Special Support Program (QN2016YX0324); Urumqi Science and Technology Project (No. P161310002 and Y161010025); and Reserve Talents Project of National High-level Personnel of Special Support Program (Xinjiang [2014]22)ReferencesH. Nawaz, N. Rashid, M. Saleem, M. A. Hanif, M. I. Majeed, I. Amin, M. Iqbal, M. Rahman, O. Ibrahim, S. M. Baig, M. Ahmed, F. Bonnier, H. J. Byrne, J. Raman Spectrosc., 48, 697-704 (2017).H. Nawaz, N. Rashid, M. Saleem, M. A. Hanif, M. I. Majeed, I. Amin, M. Iqbal, M. Rahman, O. Ibrahim, S. M. Baig, M. Ahmed, F. Bonnier, H. J. Byrne, J. Raman Spectrosc., 48, 697-704 (2017).H. Momose, S. Matsuoka, A. Murayama, N. Yamada, K. Okuma, E. Ikebe, Y. Hoshi, M. Muramatsu, T. Wakita, K. Toyota, T. Kato, I. Hamaguchi, J. Clin. Virol., 105, 97-102 (2018).H. Momose, S. Matsuoka, A. Murayama, N. Yamada, K. Okuma, E. Ikebe, Y. Hoshi, M. Muramatsu, T. Wakita, K. Toyota, T. Kato, I. Hamaguchi, J. Clin. Virol., 105, 97-102 (2018).J. Liang, C. Lv, M. Chen, M. Xu, C. Zhao, Y. Yang, J. Wang, D. Zhu, J. Gao, R. Rong, T. Zhu, M. Yu, J. Diabetes, 11, 370-378 (2019).J. Liang, C. Lv, M. Chen, M. Xu, C. Zhao, Y. Yang, J. Wang, D. Zhu, J. Gao, R. Rong, T. Zhu, M. Yu, J. Diabetes, 11, 370-378 (2019).Q. Meng, C. Wong, A. Rangachari, S. Tamatsukuri, M. Sasaki, E. Fiss, L. Cheng, T. Ramankutty, D. Clarke, H. Yawata, Y. Sakakura, T. Hirose, C. Impraim, J. Clin. Microbiol., 39, 2937-2945 (2001).Q. Meng, C. Wong, A. Rangachari, S. Tamatsukuri, M. Sasaki, E. Fiss, L. Cheng, T. Ramankutty, D. Clarke, H. Yawata, Y. Sakakura, T. Hirose, C. Impraim, J. Clin. Microbiol., 39, 2937-2945 (2001).X. Zheng, G. Lv, Y. Zhang, X. Lv, Z. Gao, J. Tang, J. Mo, Spectrochim. Acta A, 215, 244-248 (2019).X. Zheng, G. Lv, Y. Zhang, X. Lv, Z. Gao, J. Tang, J. Mo, Spectrochim. Acta A, 215, 244-248 (2019).C. S. Ho, N. Jean, C. A. Hogan, L. Blackmon, S. S. Jeffrey, M. Holodniy, N. Banaei, A. A. E. Saleh, S. Ermon, J. Dionne, Nat. Commun., 10, 8 (2019).C. S. Ho, N. Jean, C. A. Hogan, L. Blackmon, S. S. Jeffrey, M. Holodniy, N. Banaei, A. A. E. Saleh, S. Ermon, J. Dionne, Nat. Commun., 10, 8 (2019).T. Mahmood, H. Nawaz, A. Ditta, M. I. Majeed, M. A. Hanif, N. Rashid, H. N. Bhatti, H. F. Nargis, M. Saleem, F. Bonnier, H. J. Byrne, Spectrochim Acta A, 200, 136-142 (2018).T. Mahmood, H. Nawaz, A. Ditta, M. I. Majeed, M. A. Hanif, N. Rashid, H. N. Bhatti, H. F. Nargis, M. Saleem, F. Bonnier, H. J. Byrne, Spectrochim Acta A, 200, 136-142 (2018).S. Feng, R. Chen, J. Lin, J. Pan, G. Chen, Y. Li, M. Cheng, Z. Huang, J. Chen, H. Zeng, Biosens. Bioelectron, 25, 2414-2419 (2010).S. Feng, R. Chen, J. Lin, J. Pan, G. Chen, Y. Li, M. Cheng, Z. Huang, J. Chen, H. Zeng, Biosens. Bioelectron, 25, 2414-2419 (2010).S.-X. Li, Q.-Y. Zeng, L.-F. Li, Y.-J. Zhang, M.-M. Wan, Z.-M. Liu, H.-L. Xiong, Z.-Y. Guo, S.-H. Liu, J. Biomed. Opt, 18, 027008 (2013).S.-X. Li, Q.-Y. Zeng, L.-F. Li, Y.-J. Zhang, M.-M. Wan, Z.-M. Liu, H.-L. Xiong, Z.-Y. Guo, S.-H. Liu, J. Biomed. Opt, 18, 027008 (2013).J. Wang, D. Lin, J. Lin, Y. Yu, Z. Huang, Y. Chen, J. Lin, S. Feng, B. Li, N. Liu, R. Chen, J. Biomed. Opt., 19, 087003 (2014).J. Wang, D. Lin, J. Lin, Y. Yu, Z. Huang, Y. Chen, J. Lin, S. Feng, B. Li, N. Liu, R. Chen, J. Biomed. Opt., 19, 087003 (2014).S. M. Cohen, P. Davitkov, Liver Disease: A Clinical Casebook, Springer (2018).S. M. Cohen, P. Davitkov, Liver Disease: A Clinical Casebook, Springer (2018).Y. LeCun, Y. Bengio, G. Hinton, Nature, 521, 436-444 (2015).Y. LeCun, Y. Bengio, G. Hinton, Nature, 521, 436-444 (2015).J. Acquarelli, T. van Laarhoven, J. Gerretzen, T. N. Tran, L. M. C. Buydens, E. Marchiori, Anal. Chim. Acta, 954, 22-31 (2017).J. Acquarelli, T. van Laarhoven, J. Gerretzen, T. N. Tran, L. M. C. Buydens, E. Marchiori, Anal. Chim. Acta, 954, 22-31 (2017).J. Liu, M. Osadchy, L. Ashton, M. Foster, C. J. Solomon, S. J. Gibson, Analyst., 142, 4067-4074 (2017).J. Liu, M. Osadchy, L. Ashton, M. Foster, C. J. Solomon, S. J. Gibson, Analyst., 142, 4067-4074 (2017).C. Cui, T. Fearn, Chemom. Intell. Lab. Syst., 182, 9-20 (2018).C. Cui, T. Fearn, Chemom. Intell. Lab. Syst., 182, 9-20 (2018).S. L. Neal, Appl. Spectrosc, 72, 102-113 (2018).S. L. Neal, Appl. Spectrosc, 72, 102-113 (2018).S. Malek, F. Melgani, Y. Bazi, J. Chemom., 32, e2977 (2018).S. Malek, F. Melgani, Y. Bazi, J. Chemom., 32, e2977 (2018).N. H. Tran, X. Zhang, L. Xin, B. Shan, M. Li, P Natl. Acad. Sci. USA, 114, 8247-8252 (2017).N. H. Tran, X. Zhang, L. Xin, B. Shan, M. Li, P Natl. Acad. Sci. USA, 114, 8247-8252 (2017).X.-X. Zhou, W.-F. Zeng, H. Chi, C. Luo, C. Liu, J. Zhan, S.-M. He, Z. Zhang, Anal. Chem., 89, 12690-12697 (2017).X.-X. Zhou, W.-F. Zeng, H. Chi, C. Luo, C. Liu, J. Zhan, S.-M. He, Z. Zhang, Anal. Chem., 89, 12690-12697 (2017).S. Wang, S. Fei, Z. Wang, Y. Li, J. Xu, F. Zhao, X. Gao, Bioinformatics, 35, 691-693 (2019).S. Wang, S. Fei, Z. Wang, Y. Li, J. Xu, F. Zhao, X. Gao, Bioinformatics, 35, 691-693 (2019).P. Inglese, J. S. McKenzie, A. Mroz, J. Kinross, K. Veselkov, E. Holmes, Z. Takats, J. K. Nicholson, R. C. Glen, Chem Sci., 8, 3500-3511 (2017).P. Inglese, J. S. McKenzie, A. Mroz, J. Kinross, K. Veselkov, E. Holmes, Z. Takats, J. K. Nicholson, R. C. Glen, Chem Sci., 8, 3500-3511 (2017).M. Wen, Z. Zhang, S. Niu, H. Sha, R. Yang, Y. Yun, H. Lu, J. Proteome Res, 16, 1401-1409 (2017).M. Wen, Z. Zhang, S. Niu, H. Sha, R. Yang, Y. Yun, H. Lu, J. Proteome Res, 16, 1401-1409 (2017).M. Wen, P. Cong, Z. Zhang, H. Lu, T. Li, Bioinformatics, 34, 3781-3787 (2018).M. Wen, P. Cong, Z. Zhang, H. Lu, T. Li, Bioinformatics, 34, 3781-3787 (2018).D. Jiang, S. Malla, Y.-J. Fu, D. Choudhary, J. F. Rusling, Anal Chem, 89, 12872-12879 (2017).D. Jiang, S. Malla, Y.-J. Fu, D. Choudhary, J. F. Rusling, Anal Chem, 89, 12872-12879 (2017).N. Divakar, R. Venkatesh Babu, Proc. IEEE Conf Computer Vision and Pattern Recognition Workshops, 80-87 (2017).N. Divakar, R. Venkatesh Babu, Proc. IEEE Conf Computer Vision and Pattern Recognition Workshops, 80-87 (2017).S. Li, G. Chen, Y. Zhang, Z. Guo, Z. Liu, J. Xu, X. Li, L. Lin, Opt. Express, 22, 25895-25908 (2014).S. Li, G. Chen, Y. Zhang, Z. Guo, Z. Liu, J. Xu, X. Li, L. Lin, Opt. Express, 22, 25895-25908 (2014).R. Sumazaki, M. Motz, H. Wolf, J. Heinig, W. Jilg, F. Deinhardt, J. Med. Virol, 27, 304-308 (1989).R. Sumazaki, M. Motz, H. Wolf, J. Heinig, W. Jilg, F. Deinhardt, J. Med. Virol, 27, 304-308 (1989).J. Zhao, H. Lui, D. I. McLean, H. Zeng, Appl. Spectrosc., 61, 1225-1232 (2007).J. Zhao, H. Lui, D. I. McLean, H. Zeng, Appl. Spectrosc., 61, 1225-1232 (2007).X. Li, T. Yang, S. Li, D. Wang, Y. Song, S. Zhang, Laser Phys, 26, 035702 (2016).X. Li, T. Yang, S. Li, D. Wang, Y. Song, S. Zhang, Laser Phys, 26, 035702 (2016).A. Rygula, K. Majzner, K. M. Marzec, A. Kaczor, M. Pilarczyk, M. Baranska, J. Raman Spectrosc., 44, 1061-1076 (2013).A. Rygula, K. Majzner, K. M. Marzec, A. Kaczor, M. Pilarczyk, M. Baranska, J. Raman Spectrosc., 44, 1061-1076 (2013).V. Vapnik, The Nature of Statistical Learning Theory, Springer, New York, doi 10, 978-971 (1995).V. Vapnik, The Nature of Statistical Learning Theory, Springer, New York, doi 10, 978-971 (1995).I. Düntsch, G. Gediga, Conf. Ser., IOP Publishing., 1229, 012055 (2019).I. Düntsch, G. Gediga, Conf. Ser., IOP Publishing., 1229, 012055 (2019).G. P. J. Yang, V. Rao, J. Sohl-Dickstein, S. S. Schoenholz, arXiv preprint arXiv: 1902.08129(2019).G. P. J. Yang, V. Rao, J. Sohl-Dickstein, S. S. Schoenholz, arXiv preprint arXiv: 1902.08129(2019).G. Yang, J. Pennington, V. Rao, J. Sohl-Dickstein, S. S. Schoenholz, arXiv preprint arXiv: 1902.08129 (2019).G. Yang, J. Pennington, V. Rao, J. Sohl-Dickstein, S. S. Schoenholz, arXiv preprint arXiv: 1902.08129 (2019).Q. Luo, H. Ma, Y. Wang, L. Tang, R. Xiong, Neurocomputing, 378, 364-374 (2020).Q. Luo, H. Ma, Y. Wang, L. Tang, R. Xiong, Neurocomputing, 378, 364-374 (2020).X.-X. Zhou, H. Chi, C. Luo, C. Liu, J. Zhan, et al. Anal. Chem, 89, 12690-12697 (2017).X.-X. Zhou, H. Chi, C. Luo, C. Liu, J. Zhan, et al. Anal. Chem, 89, 12690-12697 (2017).Z. Movasaghi, S. Rehman, I. U. Rehman, Appl. Spectrosc. Rev., 42, 493-541 (2007).Z. Movasaghi, S. Rehman, I. U. Rehman, Appl. Spectrosc. Rev., 42, 493-541 (2007).L. Seballos, J. Z. Zhang, R. Sutphen, Anal. Bioanal. Chem., 383, 763-767 (2005).L. Seballos, J. Z. Zhang, R. Sutphen, Anal. Bioanal. Chem., 383, 763-767 (2005).K. Maquelin, C. Kirschner, L.-P. Choo-Smith, N. van den Braak, D. Endtz, H. P. Naumann, G. Puppels, J. Microbiol. Meth, 51, 255-271 (2002).K. Maquelin, C. Kirschner, L.-P. Choo-Smith, N. van den Braak, D. Endtz, H. P. Naumann, G. Puppels, J. Microbiol. Meth, 51, 255-271 (2002).C.-C. Lin, W.-H. Liu, Z.-H. Wang, M.-C. Yin, Eur. J. Nutr, 50, 499-506 (2011).C.-C. Lin, W.-H. Liu, Z.-H. Wang, M.-C. Yin, Eur. J. Nutr, 50, 499-506 (2011).N. Kato, O.Yokosuka, , M.Omata, , K.Hosoda, M. Ohto, J. Clin. Invest., 86, 1764-1767 (1990).N. Kato, O.Yokosuka, , M.Omata, , K.Hosoda, M. Ohto, J. Clin. Invest., 86, 1764-1767 (1990).N. Stone, C. Kendall, J. Smith, P. Crow, H. Barr, Faraday Discuss., 126, 141-157 (2004).N. Stone, C. Kendall, J. Smith, P. Crow, H. Barr, Faraday Discuss., 126, 141-157 (2004).S. Anwar, S. Firdous, Laser Phys. Lett., 12, 076001 (2015).S. Anwar, S. Firdous, Laser Phys. Lett., 12, 076001 (2015).J. Perła-Kaján, H. Jakubowski, Amino Acids, 43, 1405-1417 (2012).J. Perła-Kaján, H. Jakubowski, Amino Acids, 43, 1405-1417 (2012).G. Shetty, C. Kendall, N. Shepherd, N. Stone, H. Barr, Brit. J. Cancer., 94, 1460-1464 (2006).G. Shetty, C. Kendall, N. Shepherd, N. Stone, H. Barr, Brit. J. Cancer., 94, 1460-1464 (2006).A. A. Raouf, H. M. El-Sebaey, A. K. Abd El-Hamead, A. Y. El-Fert, Y. E. El-Gendy,MenoufiaMed. J., 29, 895 (2016).A. A. Raouf, H. M. El-Sebaey, A. K. Abd El-Hamead, A. Y. El-Fert, Y. E. El-Gendy,MenoufiaMed. J., 29, 895 (2016).T. Hevonoja, M. O. Pentikainen, M. T. Hyvonen, P. T. Kovanen, M. Ala-Korpela, BBA-Mol Cell Biol L., 1488, 189-210 (2000).T. Hevonoja, M. O. Pentikainen, M. T. Hyvonen, P. T. Kovanen, M. Ala-Korpela, BBA-Mol Cell Biol L., 1488, 189-210 (2000).C. M. Bremer, C. Bung, N. Kott, M. Hardt, D. Glebe, Cell Microbiol., 11, 249-260 (2009).C. M. Bremer, C. Bung, N. Kott, M. Hardt, D. Glebe, Cell Microbiol., 11, 249-260 (2009).Y.-J. Li, P. Zhu, Y. Liang, W.-G. Yin, J.-H. Xiao, World J. Gastroenter., 19, 2262 (2013).Y.-J. Li, P. Zhu, Y. Liang, W.-G. Yin, J.-H. Xiao, World J. Gastroenter., 19, 2262 (2013).S. Khan, R. Ullah, A. Khan, R. Ashraf, H. Ali, M. Bilal, M. Saleem, Photodiagn. Photodyn., 23, 89-93 (2018).S. Khan, R. Ullah, A. Khan, R. Ashraf, H. Ali, M. Bilal, M. Saleem, Photodiagn. Photodyn., 23, 89-93 (2018).K. Naseer, M. Saleem, S. Ali, B. Mirza, J. Qazi, Spectrochim. Acta A, 222, 117181 (2019).K. Naseer, M. Saleem, S. Ali, B. Mirza, J. Qazi, Spectrochim. Acta A, 222, 117181 (2019).A. Rodriguez-Casado, M. Molina, P. Carmona, Appl. Spectrosc., 61, 1219-1224 (2007).A. Rodriguez-Casado, M. Molina, P. Carmona, Appl. Spectrosc., 61, 1219-1224 (2007).A. Ditta, H. Nawaz, T. Mahmood, M. Majeed, M. Tahir, N. Rashid, M. Muddassar, A. Al-Saadi, H. Byrne, Spectrochim. Acta A, 221, 117173 (2019).A. Ditta, H. Nawaz, T. Mahmood, M. Majeed, M. Tahir, N. Rashid, M. Muddassar, A. Al-Saadi, H. Byrne, Spectrochim. Acta A, 221, 117173 (2019).Y. Lu, Y. Lin, Z. Zheng, X. Tang, J. Lin, X. Liu, M. Liu, G. Chen, S. Qiu, T. Zhou, Biomed. Opt. Express, 9, 4755-4766 (2018).Y. Lu, Y. Lin, Z. Zheng, X. Tang, J. Lin, X. Liu, M. Liu, G. Chen, S. Qiu, T. Zhou, Biomed. Opt. Express, 9, 4755-4766 (2018).

The authors declare that there are no conflicts of interest present.