المؤلفون: Farzana, W., Temtam, A., Iftekharuddin, K. M.

المصدر: Electrical & Computer Engineering Faculty Publications

مصطلحات موضوعية: Biological tissues, Feature extraction, Image classification, Image representation, Image segmentation, Learning (artificial intelligence), Medical image processing, Tumors, Wavelet transforms, Collaborative local models, Data-driven global model, Distinct imaging features, Federated learning, Global model shifts, Haar wavelets, Harmonic multiscale based, Harmonization, Harmonized image feature space, Histopathological images, Imaging scanner protocols, Local domain, Local model weight shift, Machine learning approach, Medical imaging data, Tumor tissue classification, Wavelet-based harmonization, Biomedical, Electrical and Computer Engineering, Molecular, Cellular

وصف الملف: application/pdf

Relation: https://digitalcommons.odu.edu/ece_fac_pubs/471; https://digitalcommons.odu.edu/context/ece_fac_pubs/article/1480/viewcontent/Iftekharuddin_2024_Wavelet_BasedHarmonizationofLocalandGlobalModelOCR.pdf

الاتاحة: https://digitalcommons.odu.edu/ece_fac_pubs/471
https://doi.org/10.1117/12.3009710
https://digitalcommons.odu.edu/context/ece_fac_pubs/article/1480/viewcontent/Iftekharuddin_2024_Wavelet_BasedHarmonizationofLocalandGlobalModelOCR.pdf