Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu

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Artificial Intelligence in Diagnostic Medical Image Processing for Advanced Healthcare Applicationscal impedance tomography (EIT), positron emission tomography (PET), and (optical) microscopic imaging, have significantly propelled healthcare by elucidating intricate details of human tissues and organs. Despite these achievements, challenges persist in terms of image acquisition, processing, big m

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From Pixels to Predictions: Exploring the Role of Artificial Intelligence in Radiology,cial intelligence (AI) is quickly making headway in the field of radiology. AI, when used effectively, can be beneficial in the education of future doctors. Technological developments frequently cause changes in the field of radiology. Therefore, a new storage device, image distribution system, or s

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Tracing Historical Connections: The Evolutionary Ties of Artificial Intelligence, Confocal Microscoion, highlighting the intersection of these disciplines. As a luminary in the field of AI, Minsky‘s foundational work at the Massachusetts Institute of Technology‘s Artificial Intelligence Laboratory set the stage for neural network research and computational theories of mind. Simultaneously, Minsky

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Two Photon Fluorescence Integrated Machine Learning for Data Analysis and Interpretation,tists to tackle complex biological questions with unprecedented precision. This chapter explores the transformative potential of this integrated approach across multiple domains, particularly in cancer biology, stem cell research, and brain science. By harnessing the high-resolution imaging capabili

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