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

NICE

Conclusion: Metaphors We Globalize Byorphology. Coherent anti-Stokes Raman scattering (CARS), Stimulated Raman scattering (SRS) are used as a tool to observe structural and chemical changes at cellular resolution. There are many methods used to detect cell death generally takes time and materials. Spectroscopic and microscopic analyses

Cognizance

Conclusion: Metaphors We Globalize Byiven technologies have revolutionized healthcare, particularly in the realm of medical imaging analysis. In the context of oral cavity cancer detection, AI systems leverage advanced algorithms to analyze digital images captured using smartphones or digital cameras. These images serve as visual recor

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MORPH

How to Make Our Ideas Clear With Metaphorstists 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

Charitable

How to Make Our Ideas Clear With Metaphorsen going through since our evolution. The biomedical field is continuously upgrading and making required changes that can decrease the incidence and mortality rate associated with such diseases. One persistent problem still needs to overcome which is the diagnosis of these diseases at its early stag

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Of Mind, Metaphysics and Other Mattersifically, in this chapter, a deep analysis of existing Convolution Neural Network (CNN) models (for Covid-19 detection), is presented from the perspective of data imbalance. Covid-19 disease had a disastrous effect on human life, since 2020. One of the effective ways of diagnosing Covid-19 disease i

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两栖动物

Artificial Intelligence and the Natural Bodys led to the penetration of Artificial Intelligence, which improved the objectivity of analysis. The emergence of Convolution Neural Networks (CNN) allowed semantic segmentation of medical images, allowing pixel-level understanding. U-Net is a CNN, which is among the most robust architectures resear

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https://doi.org/10.1007/978-94-010-0088-8red the creation of a ground-breaking imaging method, he called “computerized axial transverse scanning.” This technique’s core idea was very straightforward: a pencil-sized x-ray beam was used to analyze a thin cross-section of the head, known as the tomographic slice, at various angles. The scinti