Autors: Draganov, I. R., Gancheva, V. S.
Title: Unsharp Masking with Local Adaptive Contrast Enhancement of Medical Images
Keywords: Unsharp masking, Contrast enhancement, CLAHE, CT, X-ray

References

    Issue

    2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021), vol. 784, pp. 354-363, 2021, United Kingdom, Springer, https://doi.org/10.1007/978-981-16-3880-0_37

    Copyright Springer

    Цитирания (Citation/s):
    1. Narayan, Vipul, Mall, Pawan Kumar, Alkhayyat, Ahmed, Abhishek, Kumar, Kumar, Sanjay, Pandey, Prakash, Enhance-Net: An Approach to Boost the Performance of Deep Learning Model Based on Real-Time Medical Images, Journal of Sensors, Volume 2023, 2023, Article number 8276738, https://doi.org/10.1155/2023/8276738 - 2023 - в издания, индексирани в Scopus и/или Web of Science
    2. Joy, M.T., Shan, B.P., Titus, G., Gradient-adaptive Nonlinear Sharpening for Dental Radiographs Original Scientific Pap, International Journal of Electrical and Computer Engineering Systems 14(6), pp. 685-693, 2023 - 2023 - в издания, индексирани в Scopus и/или Web of Science
    3. Dong L., Bi Y., Xue B., Zhang M., Multi-Objective Genetic Programming with Ensemble Construction for Medical Image Classification, 2026, IEEE Transactions on Evolutionary Computation, issue 0, DOI 10.1109/TEVC.2026.3725370, issn 1089778X, eissn 19410026 - 2026 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science