Titlebook: Biomedical Signal and Image Processing with Artificial Intelligence; Chirag Paunwala,Mita Paunwala,Norliza Mohd. Noor Book 2023 The Editor

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Palgrave Studies in the History of Financech helps to attain a high detection rate and reduces the time consumed for analyzing the sample. In this paper, CAD system based on sputum color images is proposed which consists of four main processing steps. It starts with the preprocessing step using a heuristic rule-based and a Bayesian classifi

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EAI/Springer Innovations in Communication and Computinghttp://image.papertrans.cn/b/image/188095.jpg

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An Object Aware Hybrid U-Net for Breast Tumour Annotation,s the overall performance of the breast tumour dataset..Conclusion: The results obtained show that the pathologist like annotation could be achieved by developing such hybrid models that integrate the domain knowledge through classical segmentation methods like Active Contours and global knowledge t

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Detection of Fetal Abnormality Using ANN Techniques,used for diagnosis and classification of fetal growth. Performances of these methods are compared and evaluated based on desired output and mean square error. Results found from the Bayesian-based neural networks are in closed confirmation with the real time results.

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Machine Learning and Deep Learning-Based Framework for Detection and Classification of Diabetic Rete designed techniques and their applications in retinal images. We also provided our contribution of different algorithms in a tabulated form to help other researchers understand the merits and disadvantages of these algorithms.

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