In this paper, we share our experience with translation of a similarity search-based clinical decision support system Case Reasoner from a standalone desktop ...
One approach to leverage the increasing amounts of data is to use advanced similarity search and case retrieval-based solutions. In this paper, we share our.
Towards cloud-based image-integrated similarity search ...
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Based on the concept, gordian technologies, kernel problems, and theories of cloud computing, the key problems involving cloud computing of medical big data and ...
Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer: Towards cloud-based image-integrated similarity search in big data. BHI 2014: 593-596.
Towards cloud-based image-integrated similarity search in big data. Proceedings of the IEEE-EMBS International Conference on Biomedical and Health ...
The overview of Big Data, the benefits, challenges and models of big data analytics for analyzing the medical images from a large dataset in a distributed ...
By integrating advanced technologies such as CNNs, encryption algorithms, and clustering techniques, SEI offers a robust solution for secure and efficient image ...
In this paper, we aim to build a content-based image retrieval (CBIR) based on Map Reduce distributed processing framework, which is an image analysis ...
Aug 22, 2023 · In this post, we will learn how a large vision language model (VLM) works and changes the business in the next couple of years.
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May 9, 2024 · In this paper we propose a cloud-based architecture for explainable Big Data analytics using SSAI in highly-connected 5G and Edge computing environments.