Showing 1 - 20 results of 146 for search '"КОМПЬЮТЕРНАЯ ДИАГНОСТИКА"', query time: 0.78s Refine Results
  1. 1
  2. 2
  3. 3
    Academic Journal

    Source: Informatics; Том 20, № 2 (2023); 28-38 ; Информатика; Том 20, № 2 (2023); 28-38 ; 2617-6963 ; 1816-0301

    File Description: application/pdf

    Relation: https://inf.grid.by/jour/article/view/1241/1051; A national cancer data base report on 53,856 cases of thyroid carcinoma treated in the U.S., 1985–1995 / S. A. Hundahl [et al.] // Cancer. – 1998. – Vol. 83, iss. 12. – Р. 2638–22948. https://doi.org/10.1002/(SICI)1097-0142(19981215)83:123.0.CO;2-1; Гистологическая и молекулярно-генетическая характеристика клинически агрессивных вариантов папиллярного рака щитовидной железы / А. В. Боголюбова [и др.] // Архив патологии. – 2019. – Т. 81, № 1. – С. 46–51. https://doi.org/10.17116/patol20198101146; Morphological and clinical presentation of papillary thyroid carcinoma in children and adolescents of Belarus: the influence of radiation exposure and the source of irradiation / M. Fridman [et al.] // Experimental and Molecular Pathology. – 2015. – Vol. 98, iss. 3. – Р. 527–531. https://doi.org/10.1016/j.yexmp.2015.03.039; Xu, B. Crucial parameters in thyroid carcinoma reporting – challenges, controversies and clinical implications / B. Xu, R. A. Ghossein // Histopathology. – 2018. – Vol. 72, iss. 1. – Р. 32–39. https://doi.org/10.1111/his.13335; Косарева, А. А. Определение схожего анатомического участка на КТ-изображении грудной клетки с использованием традиционных методов выделения признаков изображения / А. А. Косарева, П. В. Камлач, В. А. Ковалев // Доклады БГУИР. – 2022. – Т. 20, № 5. – С. 48–56. http://dx.doi.org/10.35596/1729-7648-2022-20-5-48-56; Multi-radial LBP features as a tool for rapid glomerular detection and assessment in whole slide histopathology images / O. Simon [et al.] // Scientific Reports. – 2018. – Vol. 8. – Р. 1–11. https://doi.org/10.1038/s41598-018-20453-7; A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrix / A. Saito [et al.] // J. of Pathology Informatics. – 2016. – Vol. 7, iss. 1. – Р. 1–9. https://doi.org/10.4103/2153-3539.189699; Jothi, J. A. A. Automatic classification of thyroid histopathology images using multi-classifier system / J. A. A. Jothi, V. M. A. Rajam // Multimedia Tools and Applications. – 2017. – Vol. 76, iss. 18. – Р. 18711–18730. https://doi.org/10.1007/s11042-017-4363-0; Interactive thyroid whole slide image diagnostic system using deep representation / P. Chen [et al.] // Computer Methods and Programs in Biomedicine. – 2020. – Vol. 195. – Р. 105630. https://doi.org/10.1016/j.cmpb.2020.105630; Litjens, G. Automate Slide Analysis Platform (ASAP) [Electronic resource] / G. Litjens. – 2017. – Mode of access: https://github.com/geertlitjens/ASAP. – Date of access: 10.09.2022; Tan, M. EfficientNet: Rethinking model scaling for convolutional neural networks / M. Tan, Q. V. Le / Proc. of the 36th Intern. Conf. on Machine Learning, ICML 2019, Long Beach, 9–15 June 2019. – Long Beach, 2019. – Р. 6105–6114.; Rijsbergen, C. J. van. Information Retrieval / C. J. van Rijsbergen. – 2nd ed. – Butterworth-Heinemann, 1979. – 224 р.; Sasaki, Y. The Truth of the F-measure [Electronic resource] / Y. Sasaki. – 2007. – Mode of access: https://www.cs.odu.edu/~mukka/cs795sum09dm/Lecturenotes/Day3/F-measure-YS-26Oct07.pdf. – Date of access: 17.02.2023.; https://inf.grid.by/jour/article/view/1241

  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
    Academic Journal

    Authors: Bayazitov, D. M.

    Source: Hospital Surgery. Journal named by L.Ya. Kovalchuk; No. 3 (2019); 24-29 ; Госпитальная хирургия. Журнал имени Л.А. Ковальчука; № 3 (2019); 24-29 ; Шпитальна хірургія. Журнал імені Л. Я. Ковальчука; № 3 (2019); 24-29 ; 2414-4533 ; 1681-2778 ; 10.11603/2414-4533.2019.3

    File Description: application/pdf

  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20