Titlebook: Computational Intelligence for Clinical Diagnosis; Ferdin Joe John Joseph,Valentina Emilia Balas,R. R Book 2023 European Alliance for Inno

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https://doi.org/10.1007/978-3-642-95173-2irborne illnesses. Further, this chapter estimates the public health harm presented by inhaled microbes conveyed through exhaled air. The strategies to control or manage pathogen spread are not well-developed. This chapter provides a qualitative and quantitative mixed-method research strategy to add

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Handbuch der allgemeinen Pathologieiagnostically important microcalcifications. Image enhancement (IE) helps radiologists make accurate cancer diagnoses. Previously, contrast enhancement (CE) techniques were created. Most CE methods require global or local histogram modifications. CLAHE uses local CE to combat global scheme restricti

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Radio-Histologie und Radio-Histopathologie,ogy for the early diagnosis, treatment, and monitoring. Machine learning algorithms and deep learning techniques, both based on artificial intelligence, could potentially revolutionise medical diagnostics. This could be a huge step forward in the field. The primary objective of this study is to eval

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https://doi.org/10.1007/978-3-662-42341-7care informatics. Healthcare informatics, which is likewise called healthcare data frameworks, is dependent on innovation in information technology. People working in this field arrange and investigate health records to further come up with medical services. Those workers additionally foster strateg

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Messungen der durchdringenden Strahlung,r therapy at the initial stages has been proven to improve the subject’s indication and skill to work. The nature of ASD differs from person to person. One of the most important problems to adequate therapy of ASD is the challenge of early identification, but unfortunately, due to the lack of obtain

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