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Titlebook: Innovation in Medicine and Healthcare; Proceedings of 9th K Yen-Wei Chen,Satoshi Tanaka,Lakhmi C. Jain Conference proceedings 2021 The Edit

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樓主: HARDY
31#
發(fā)表于 2025-3-27 00:23:47 | 只看該作者
Regulated Digital Pharmacy Based on Electronic Health Record to Improve Prescription Servicesms that manage EHR and recommended an optimal system as a basis for RDP in Japan. The authors also suggest integrating with the recently proposed Adaptive Integrated Digital Architecture Framework (AIDAF), and integration schemes are discussed. Moreover, the challenges and future research are addressed.
32#
發(fā)表于 2025-3-27 04:16:25 | 只看該作者
2190-3018 ally.Serves as a reference for researchers and practitionersThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-21), held virtually on June 14–16, 2021. Covering a number of key areas, including digital IT architecture in health
33#
發(fā)表于 2025-3-27 06:45:10 | 只看該作者
Robust Zero Watermarking Algorithm for Encrypted Medical Images Based on DWT-Gabororm. Finally, the scrambled watermark is embedded into the encrypted medical image combined with zero watermark technology. Experiments show that the algorithm in this paper has good robustness and invisibility, and can resist a certain degree of conventional attacks and geometric attacks, especially against the translation and crop attacks.
34#
發(fā)表于 2025-3-27 11:58:36 | 只看該作者
35#
發(fā)表于 2025-3-27 14:55:10 | 只看該作者
36#
發(fā)表于 2025-3-27 21:14:51 | 只看該作者
2190-3018 s a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.978-981-16-3015-6978-981-16-3013-2Series ISSN 2190-3018 Series E-ISSN 2190-3026
37#
發(fā)表于 2025-3-27 22:34:30 | 只看該作者
38#
發(fā)表于 2025-3-28 02:21:34 | 只看該作者
IDH Mutation Status Prediction by Modality-Self Attention Networktention network for the classification to solve the overfitting problem on the glioma dataset of the First Affiliated Hospital of Zhengzhou University (FHZU). The proposed method achieved an F1-score of 0.6570 on the FHZU dataset, which is better than SE-Net (0.2563), a method proposed by Yoon Seong Choi et al. (0.3999), and SA-Net (0.5245).
39#
發(fā)表于 2025-3-28 09:40:57 | 只看該作者
40#
發(fā)表于 2025-3-28 13:16:41 | 只看該作者
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