Autors: Mihaylova, A. D., Georgieva, V. M., Petrov, P. P.
Title: Multistage approach for automatic spleen segmentation in MRI sequences
Keywords: Segmentation of Spleen, Segmentation of MRI sequences, Automatic Segmentation

References

    Issue

    International Journal of Reasoning-based Intelligent Systems, vol. 12, issue 2, pp. 128-135, 2020, Japan,

    Цитирания (Citation/s):
    1. Prencipe B., Altini N., Cascarano G.D., Guerriero A., Brunetti A. (2020) A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans. In: Huang DS., Bevilacqua V., Hussain A. (eds) Intelligent Computing Theories and Application. ICIC 2020. Lecture Notes in Computer Science, vol 12463. Springer, Cham. https://doi.org/10.1007/978-3-030-60799-9_35 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Lumin Fan, Lingli Shen, Xinghua Zuo, "Feature Extraction and Recognition of Medical CT Images Based on Mumford-Shah Model", Advances in Mathematical Physics, vol. 2021, Article ID 1545098, 13 pages, 2021. https://doi.org/10.1155/2021/1545098 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, индексирана в Scopus