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Control Engineering

Color and Texture Prior Based Segmentation and Analysis of Psoriatic Disease Types Using MPSO

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References

  • Devinder Mohan Thappa, and Malathi Munisamy, “Research on psoriasis in India: where do we stand?,” Indian J. Med. Res., Vol. 146, no. 2, pp. 147, 2017.
  • Tran Thi Thu Trang, Dau Sy Hieu, Phan Ngoc Khuong Cat, Pham Thi Hai Mien, and Huynh Quang Linh, “Evaluation of scaly levels in psoriasis using multispectral polarized imaging,” in 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. Springer, 2017, pp. 97.
  • Jennifer C. Dela Cruz, Ramon G Garcia, Ericson D. Dimaunahan, Jason J. Labaclado, Gethsemane Achaia B. Reyes, Holy Merr Carol P. Riomero, and Patrisha Mae Salamatin, “Eczema, hives and psoriasis detection with the application of local binary pattern, color histogram, SVM and RGB-HSV color space,” in Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, 2019, pp. 160–165.
  • Florenzo Iannone, et al., “Effectiveness of certolizumab-pegol in rheumatoid arthritis, spondyloarthritis, and psoriatic arthritis based on the BIOPURE registry: can early response predict late outcomes?,” Clin. Drug Investig., Vol. 39, no. 6, pp. 565–575, 2019.
  • Yasmeen George, Mohammad Aldeen, and Rahil Garnavi, “Automatic nipple detection method for digital skin images with psoriasis lesions,” in 2019 Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2019, pp. 1–8.
  • Tanya Shakir Jarad, and Ali J. Dawood, “Computer-aided diagnosis psoriasis lesion using skin color and texture features,” Int. J. Comp. Digital Syst., Vol. 7, no. 03, pp. 145–154, 2018.
  • Dr BL Priya Maniyan, “Detection of diseases using nail image processing based on multiclass SVM classifier method,” Int. J. Eng. Sci., Vol. 8, no. pp. 17382–7390, 2018.
  • Uvin Withana, and Pumudu Fernando, “Differential diagnosis of eczema and psoriasis using categorical data in image processing,” in 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2017, pp. 1–6.
  • Pravin S. Ambad, and A. S. Shirsat, “A image analysis system to detect skin diseases,” IOSR J. VLSI Signal Process., Vol. 6, no. 5, pp. 17–25, 2016.
  • Datchakorn Tancharoen, Patinya Tantawiwat, and Piya Kovintavewat, “Medical imaging using automatic region of interest segmentation for psoriasis diagnosis,” in 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC). IEEE, 2019, pp. 1–4.
  • Inge MGJ Bronckers, et al., “Nail involvement as a predictor of disease severity in paediatric psoriasis: follow-up data from the dutch ChildCAPTURE registry,” Actader. Venereol., Vol. 99, no. 1-2, pp. 152–157, 2019.
  • N. Meienberger, et al., “Observer-independent assessment of psoriasis affected area using machine learning,” J. Eur. Acad. Dermatol. Venereol., Vol. 34, no.6, pp. 1362–1368, 2019.
  • Juan Aguirre, Mathias Schwarz, Natalie Garzorz, Murad Omar, Andreas Buehler, Kilian Eyerich, and Vasilis Ntziachristos, “Precision assessment of label-free psoriasis biomarkers with ultra-broadband optoacousticmesoscopy,” Nature Biomedical Engineering, Vol. 1, no. 5, pp. 1–8, 2017.
  • Anabik Pal, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, and Swapan Senapati, “Psoriasis skin biopsy image segmentation using deep convolutional neural network,” Comput. Methods Programs Biomed., Vol. 159, pp. 59–69, 2018.
  • T. Checchio, S. Ahadieh, P. Gupta, J. Mandema, L. Puig, R. Wolk, H. Valdez, et al., “Quantitative evaluations of time-course and treatment effects of systemic agents for psoriasis: a model-based meta-analysis,” Clin. Pharmacol. Ther., Vol. 102, no. 6, pp. 1006–1016, 2017.
  • Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, and Raghunath Chatterjee, “Severity grading of psoriatic plaques using deep CNN based multi-task learning,” in 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016, pp. 1478–1483.
  • A. Reolid, et al., “Validation of an optical pencil method to estimate the affected body surface area in psoriasis,” ActasDermo-Sifiliográficas, Vol. 111, no. 2, pp. 143–148, 2020.
  • Yasmeen George, Mohammad Aldeen, and Rahil Garnavi, “Pixel-based skin segmentation in psoriasis images,” in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 1352–1356.
  • Gnanasigamony Wiselin Jiji, and Peter Savariraj Johnson Durai Raj, “Content-based image retrieval in dermatology using intelligent technique,” IET Image Proc., Vol. 9, no. 4, pp. 306–317, 2014.
  • G. Wiselin Jiji, and P. Johnson Durai Raj. “An extensive technique to detect and analyze melanoma: a challenge at the international symposium on biomedical imaging (ISBI) 2017.” arXiv preprint arXiv:1702.08717, 2017.
  • G. Wiselin Jiji, and P. Johnson Durai Raj, “A retrieval system to analyse dermatological lesions using feature ortho-normalisation,” J. Exp. Theor. Artif. Intell., Vol. 31, no. 1, pp. 41–55, 2019.
  • An-An Liu, Wei-ZhiNie Yu-Ting Su, and Mohan Kankanhalli, “Hierarchical clustering multi-task learning for joint human action grouping and recognition,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 39, no. 1, pp. 102–114, 2016.
  • G. S. Lin, K. T. Lai, J. M. Syu, J. Y. Lin, and S. K. Chai, “Instance segmentation based on deep convolutional neural networks and transfer learning for unconstrained psoriasis skin images,” Appl. Sci., Vol. 11, no. 7, pp. 3155, 2021.
  • L. Peng, Y. Na, D. Changsong, L. I. Sheng, and M. Hui, “Research on classification diagnosis model of psoriasis based on deep residual network,” Dig. Chin. Med., Vol. 4, no. 2, pp. 92–101, 2021.
  • M. Dash, N. D. Londhe, S. Ghosh, R. Raj, and R. S. Sonawane, “A cascaded deep convolution neural network based CADx system for psoriasis lesion -segmentation and severity assessment,” Appl. Soft. Comput., Vol. 91, pp. 106240, 2020.
  • R. B. Roslan, I. N. M. Razly, N. Sabri, and Z. Ibrahim, “Evaluation of psoriasis skin disease classification using convolutional neural network,” IAES Int. J. Artif. Intell., Vol. 9, no. 2, pp. 349, 2020.
  • K. Yu, M. N. Syed, E. Bernardis, and J. M. Gelfand, “Machine learning applications in the evaluation and management of psoriasis: a systematic review,” J. Psoriasis Psoriat. Arthritis, Vol. 5, no. 4, pp. 147–159, 2020.
  • Mithun Das Gupta, Srinidhi Srinivasa, J. Madhukara, and Meryl Antony, “Random forest based erythema grading for psoriasis,” in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). IEEE, 2015, pp. 819–823.
  • Xiaoou Tang, “Texture information in run-length matrices,” IEEE Trans. Image Process., Vol. 7, no. 11, pp. 1602–1609, 1998.
  • Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, and Dean Diepeveen. “Zernike moments and genetic algorithm: tutorial and application.” 2014.
  • G. Wiselin Jiji, and P. Johnson Durai Raj, “Content-based image retrieval techniques for the analysis of dermatological lesions using particle swarm optimization technique,” Appl. Soft. Comput., Vol. 30, pp. 650–662, 2015.
  • G. Wiselin Jiji, and P. Johnson Durai Raj, “Diagnosis of a dermatological lesion using intelligent feature selection technique,” Imaging Sci. J, Vol. 66, no. 5, pp. 303–313, 2018.

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