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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Book 2023 way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pande

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Chicken Swarm-Based Feature Selection with Optimal Deep Belief Network for Thyroid Cancer Detectionefforts are used by researchers to detect and provide primary phase insights into cancer analysis. Thyroid cancer is one of the worst forms of cancer, and the chances of survival for those who are diagnosed with it is bleak even today. Early stage detection of cancer is not an easy task; however, if

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Adaptive Sailfish Optimization-Contrast Limited Adaptive Histogram Equalization (ASFO-CLAHE) for Hyiagnostically 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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Efficient Method for Predicting Thyroid Disease Classification using Convolutional Neural Network wogy 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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