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Application of Two–Dimensional Entropy Measures for Detecting Signs of Pharyngeal Lymphoid Hyperplasia in Equine Endoscopic Images Cover

Application of Two–Dimensional Entropy Measures for Detecting Signs of Pharyngeal Lymphoid Hyperplasia in Equine Endoscopic Images

Open Access
|Jul 2026

References

  1. Allen KJ, Tremaine WH, Franklin SH. Prevalence of inflammatory airway disease in national hunt horses referred for investigation of poor athletic performance. Equine Vet J Suppl. 2006;(36):529–34. https://doi.org/10.1111/j.2042-3306.2006.tb05599.x
  2. Grossman J. One airway, one disease. Chest. 1997;111(2): 11S-16S. https://doi.org/10.1378/chest.111.2_supplement.11s
  3. Giovannini-Chami L, Paquet A, Sanfiorenzo C, Pons N, Cazareth J, Magnone V et al. The “one airway, one disease” concept in light of Th2 inflammation. European Respiratory Journal [Internet]. 2018;52(4). https://doi.org/10.1183/13993003.00437-2018
  4. Chang CC. Sinusitis, Rhinitis, Asthma, and the Single Airway Hypothesis. Diseases of the Sinuses. 2013;173–94. https://doi.org/10.1007/978-1-4939-0265-1_11
  5. Plaschke PP, Janson C, Norrman E, Björnsson E, Ellbjär S, Järvholm B. Onset and remission of allergic rhinitis and asthma and the relationship with atopic sensitization and smoking. Am J Respir Crit Care Med. 2000;162(3):920-4. https://doi.org/10.1164/ajrccm.162.3.9912030
  6. Fokkens W, Lund V, Mullol J, European Position Paper on Rhinosinusitis and Nasal Polyps group. European position paper on rhinosinusitis and nasal polyps 2007. Rhinol Suppl. 2007;20:1–136.
  7. King DS, Tulleners E, Martin BB, Parente EJ, Boston R. Clinical Experiences With Axial Deviation of the Aryepiglottic Folds in 52 Race-horses. Veterinary Surgery. 2001;30(2):151-60. https://doi.org/10.1053/jvet.2001.21389
  8. Courouce-Malblanc A, Deniau V, Rossignol F, Corde R, Leleu C, Mail-lard K, et al. Physiological measurements and prevalence of lower airway diseases in Trotters with dorsal displacement of the soft palate. Equine Veterinary Journal. 2010;42(s38):246–55. https://doi.org/10.1111/j.2042-3306.2010.00276.x
  9. Kaiseler PH, Dzyekanski B, Schiefelbein R, Silveira RG, Pimpão CT, Michelotto Jr PV. Upper airway evaluations of thoroughbred race horses in a private clinic in Curitiba, Brasil - resting endo-scopic findings in 587 horses. AVS [Internet]. 2012;17(4). https://doi.org/10.5380/avs.v17i4.22645
  10. Gajarlwar OS, Suryawanshi RV, Ulemale AH, Rangnekar MN, Khambatta P. Prevalence of upper respiratory tract affections in thorough-bred horses through resting endoscopy. Haryana Vet. 2020; 59(SI): 14-19.
  11. Wilkins PA. Lower airway diseases of the adult horse. Veterinary Clinics: Equine Practice. 2003;19(1):101–21. https://doi.org/10.1016/S0749-0739(02)00069-X
  12. Kozłowska N, Wierzbicka M, Jasiński T, Domino M. Co-Occurrence of Equine Asthma and Pharyngeal Lymphoid Hyperplasia in Pleasure Horses. Agriculture. 2024;14(7):1157. https://doi.org/10.3390/agriculture14071157
  13. Holcombe SJ, Derksen FJ, Berney C, Becker AC, Horner NT. Effect of topical anesthesia of the laryngeal mucosa on upper air-way mechanics in exercising horses; 2001. https://doi.org/10.2460/ajvr.2001.62.1706
  14. Mair TS, Batten EH, Stokes CR, Bourne FJ. The histological features of the immune system of the equine respiratory tract. Journal of Comparative Pathology. 1987;97(5):575–86. https://doi.org/10.1016/0021-9975(87)90008-9
  15. Raker CW, Boles C L. Pharyngeal Lymphoid Hyperplasia in the Horse. J Equine Med Surg. 1978;(2):202-7.
  16. Holcombe S, Ducharme N. Disorders of the Nasopharynx and Soft Palate. In: Equine Respiratory Medicine and Surgery. 2007;437–57. https://doi.org/10.1016/B978-0-7020-2759-8.50034-9
  17. Van der Post RS, van Dieren J, Grelack A, Hoogerbrugge N, van der Kolk LE, Snaebjornsson P et al. Outcomes of screening gastroscopy in first-degree relatives of patients fulfilling hereditary diffuse gastric cancer criteria. Gastrointest Endosc. 2018;87(2):397-404.e2. https://doi.org/10.1016/j.gie.2017.04.016
  18. Murray MJ, Nout YS, Ward DL. Endoscopic findings of the gastric antrum and pylorus in horses: 162 cases (1996-2000). J Vet Intern Med. 2001;15(4):401–6.
  19. Tollivoro TA, Jensen CD, Marks AR, Zhao WK, Schottinger JE, Quinn VP et al. Index colonoscopy-related risk factors for postcolonoscopy colorectal cancers. Gastrointest Endosc. 2019;89(1):168-176.e3. https://doi.org/10.1016/j.gie.2018.08.023
  20. Hunter B, Belgrave RL. Atresia coli in a foal: Diagnosis made with colonoscopy aided by N-butylscopolammonium bromide. Equine Veterinary Education. 2010;22(9):429–33. https://doi.org/10.1111/j.2042-3292.2010.00080.x
  21. Meng MQ-H, Mei T, Pu J, Hu C, Xiaona W, Chan Y. Wireless robotic capsule endoscopy: State-of-the-art and challenges. 2024; 6: 5561 p. https://doi.org/10.1109/WCICA.2004.1343799
  22. Steinmann M, Bezugley RJ, Bond SL, Pomrantz JS, Léguillette R. A wireless endoscopy capsule suitable for imaging of the equine stomach and small intestine. J Vet Intern Med. 2020;34(4):1622–30. https://doi.org/10.1111/jvim.15825
  23. Samplaski MK, Jones JS. Two centuries of cystoscopy: the development of imaging, instrumentation and synergistic technologies. BJU Int. 2009;103(2):154–8. https://doi.org/10.1111/j.1464-410X.2008.08244.x
  24. Smith FL, Magdesian KG, Michel AO, Vaughan B, Reilly CM. Equine idiopathic hemorrhagic cystitis: Clinical features and com-parison with bladder neoplasia. J Vet Intern Med. 2018;32(3):1202–9. https://doi.org/10.1111/jvim.15121
  25. De Coninck V, Keller EX, Somani B, Giusti G, Proietti S, Rodri-guez-Socarras M, et al. Complications of ureteroscopy: a complete overview. World J Urol. 2020;38(9):2147–66. https://doi.org/10.1007/s00345-019-03012-1
  26. Jones ARE, Ragle CA. A minimally invasive surgical technique for ureteral ostioplasty in two fillies with ureteral ectopia. J Am Vet Med Assoc. 2018;253(11):1467–72. https://doi.org/10.2460/javma.253.11.1467
  27. Ma L, Shi B, Li Y, Zheng Q. Velopharyngeal function assessment in patients with cleft palate: perceptual speech assessment versus nasopharyngoscopy. J Craniofac Surg. 2013;24(4):1229–31. https://doi.org/10.1097/SCS.0b013e31828a7877
  28. Kozłowska N, Wierzbicka M, Pawliński B, Domino M. Co-Occurrence of Severe Equine Asthma and Palatal Disorders in Privately Owned Pleasure Horses. Animals (Basel). 2023;13(12):1962. https://doi.org/10.3390/ani13121962
  29. Busse WW, Wanner A, Adams K, Reynolds HY, Castro M, Chowdhury B et al. Investigative bronchoprovocation and bronchoscopy in airway diseases. Am J Respir Crit Care Med. 2005;172(7):807–16. https://doi.org/10.1164/rccm.200407-966WS
  30. Ahmad J, Muhammad K, Lee MY, Baik SW. Endoscopic Image Classification and Retrieval using Clustered Convolutional Features. J Med Syst. 2017;41(12):196. https://doi.org/10.1007/s10916-017-0836-y
  31. Mukhtorov D, Rakhmonova M, Muksimova S, Cho Y-I. Endoscopic Image Classification Based on Explainable Deep Learning. Sensors. 2023;23(6):3176. https://doi.org/10.3390/s23063176
  32. Yue G, Wei P, Liu Y, Luo Y, Du J, Wang T. Automated Endoscopic Image Classification via Deep Neural Network With Class Imbalance Loss. IEEE Transactions on Instrumentation and Measurement. 2023; 1–1. https://doi.org/10.1109/TIM.2023.3264047
  33. Banik D, Roy K, Bhattacharjee D, Nasipuri M, Krejcar O. Polyp-Net: A Multi-model Fusion Network for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement. 2020;1–1. https://doi.org/10.1109/TIM.2020.3015607
  34. Yang X, Wei Q, Zhang C, Zhou K, Kong L, Jiang W. Colon Polyp Detection and Segmentation based on improved MRCNN. IEEE Transactions on Instrumentation and Measurement. 2020;1–1. https://doi.org/10.1109/TIM.2020.3038011
  35. Gaur P, Gupta H, Chowdhury A, Mc Creadie K, Pachori RB, Wang H. A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Transactions on Instrumentation and Measurement. 2021;70(4002709):1–9. https://doi.org/10.1109/TIM.2021.3051996
  36. Yue G, Han W, Jiang B, Zhou T, Cong R, Wang T. Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation. IEEE J Biomed Health Inform. 2022;26(8):4090–9. https://doi.org/10.1109/JBHI.2022.3173948
  37. Wieczorek M, Wojtas N, Wituła R, Krawczyk A, Rycerz K. A Custom Deep Learning Architecture with Image Augmentation for Intelligent Gastrointestinal Tract Tissue Classification. International Journal of Applied Mathematics and Computer Science. 2024;34(4):597–616. https://doi.org/10.61822/amcs-2024-0040
  38. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al. Scikit-learn: Machine Learning in Python. Machine learning in python. Journal of Machine Learning Research 12. 2011; 2825-2830.
  39. Borowska M. Wprowadzenie do zastosowania entropii w analizie sygnałów i obrazów biomedycznych oraz jej aplikacje w medycynie i weterynarii [Internet]. Politechnika Białostocka; 2023. https://doi.org/10.24427/978-83-67185-81-3
  40. Da Silva LEV, Senra Filho AC da S, Fazan VPS, Felipe JC, Murta LO. Two-dimensional sample entropy analysis of rat sural nerve aging. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3345–8. https://doi.org/10.1109/EMBC.2014.6944339
  41. Silva LE, Duque J, Murta L, Humeau-Heurtier A. Two-Dimensional Multiscale Entropy Analysis: Applications to Image Texture Evaluation. Signal Processing. 2018;147. https://doi.org/10.1016/j.sigpro.2018.02.004
  42. Hilal M, Berthin C, Martin L, Azami H, Humeau-Heurtier A. Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum. IEEE Trans Biomed Eng. 2020;67(7):2015–22. https://doi.org/10.1109/TBME.2019.2953681
  43. Furlong R, Hilal M, O’Brien V, Humeau-Heurtier A. Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification. Entropy. 2021;23(10):1303. https://doi.org/10.3390/e23101303
  44. Azami H, Da Silva LEV, Omoto ACM, Humeau-Heurtier A. Two-dimensional dispersion entropy: An information-theoretic method for irregularity analysis of images. Signal Processing: Image Communication. 2019;75:178–87. https://doi.org/10.1016/j.image.2019.04.013
  45. Azami H, Escudero J, Humeau-Heurtier A. Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures. IEEE Signal Processing Letters. 2017;PP:1–1. https://doi.org/10.1109/LSP.2017.2723505
  46. Espinosa R, Bailón R, Laguna P. Two-Dimensional EspEn: A New Approach to Analyze Image Texture by Irregularity. Entropy. 2021;23(10):1261. https://doi.org/10.3390/e23101261
  47. Ribeiro HV, Zunino L, Lenzi EK, Santoro PA, Mendes RS. Complexity-Entropy Causality Plane as a Complexity Measure for Two-Dimensional Patterns. PLOS ONE. 2012;7(8):e40689. https://doi.org/10.1371/journal.pone.0040689
  48. Morel C, Humeau-Heurtier A. Multiscale permutation entropy for two-dimensional patterns. Pattern Recognition Letters. 2021;150. https://doi.org/10.1016/j.patrec.2021.06.028
  49. Lin W, Gao Q, Du M, Chen W, Tong T. Multiclass diagnosis of stages of Alzheimer’s disease using linear discriminant analysis scoring for multimodal data. Comput Biol Med. 2021;134:104478. https://doi.org/10.1016/j.compbiomed.2021.104478
  50. Adebiyi MO, Arowolo MO, Mshelia MD, Olugbara OO. A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis. Applied Sciences. 2022;12(22):11455. https://doi.org/10.3390/app122211455
  51. Rezaei Z. A review on image-based approaches for breast cancer detection, segmentation, and classification. Expert Syst Appl [Internet]. 2021;182(C). https://doi.org/10.1016/j.eswa.2021.115204
  52. Bechelli S, Delhommelle J. Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images. Bioengineering (Basel). 2022;9(3):97. https://doi.org/10.3390/bioengineering9030097 PMID: 35324786
  53. Babenko V, Nastenko I, Pavlov V, Horodetska O, Dykan I, Tarasyuk B et al. Classification of Pathologies on Medical Images Using the Algorithm of Random Forest of Optimal-Complexity Trees. Cybernetics and Systems Analysis. 2023;346-58. https://doi.org/10.1007/s10559-023-00569-z
  54. Jasti VDP, Zamani AS, Arumugam K, Naved M, Pallathadka H, Sammy F et al. Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis. Reddy GT, editor. Security and Communication Networks. 2022;2022:1–7. https://doi.org/10.1155/2022/1918379
  55. Breiman L. Random Forests. Machine Learning. 2001;45(1):5–32. https://doi.org/10.1023/A:1010933404324
  56. Humeau-Heurtier A. The multiscale entropy algorithm and its variants: A review. Entropy. 2015;17(5): 3110-23. https://doi.org/10.3390/e17053110
  57. Xing X, Jia, X, Meng MQH. Bleeding detection in wireless capsule endoscopy image video using superpixel-color histogram and a subspace KNN classifier. In 2018 40th annual international conference of the ieee engineering in medicine and biology society (EMBC) IEEE. 2018; 1-4. https://doi.org/10.1109/EMBC.2018.8513012
  58. Bębas E, Pauk K, Pauk J, Daunoraviciene K, Mojsak M, Hładuński M, Domino M, Borowska M. Application of Fractal Radiomics and Machine Learning for Differentiation of Non-Small Cell Lung Cancer Sub-types on PET/MR Images. Journal of Clinical Medicine. 2025;14(16):5776. https://doi.org/10.3390/jcm14165776
  59. Li B, Meng MQH. Tumor recognition in wireless capsule endoscopy images using textural features and SVM-based feature selection. IEEE Transactions on Information Technology in Biomedicine. 2012;16(3):323-9. https://doi.org/10.1109/TITB.2012.2185807
  60. Bębas E, Borowska M, Derlatka M, Oczeretko E, Hładuński M, Szumowski P, Mojsak M. Machine-learning-based classification of the histological subtype of non-small-cell lung cancer using MRI texture analysis. Biomedical Signal Processing and Control. 2021;66:102446. https://doi.org/10.1016/j.bspc.2021.102446
DOI: https://doi.org/10.65731/ama-2026-0022 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 218 - 226
Submitted on: Jan 14, 2026
Accepted on: Feb 3, 2026
Published on: Jul 16, 2026
In partnership with: Paradigm Publishing Services

© 2026 Marta Borowska, Natalia Kozłowska, Tomasz Jasiński, Małgorzata Wierzbicka, Małgorzata Domino, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.