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

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Soil Quality and Methods for its Assessment,ful skin malignancy cases are fundamental to guarantee a low death rate as the survival rate. Most of the related works focus on machine learning-based algorithms, but they failed to provide the maximum accuracy and specificity. Thus, to overcome this problem, integrated unsupervised learning with p

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SpringerBriefs in Earth Sciencesal representations along with maintaining a satisfactory visual form of medical images for analysis. In this proposed method, brightness component (Y) is encoded using the conventional encoding and gray scale compression algorithm, while chrominance components are processed further using the propose

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https://doi.org/10.1007/978-3-319-71861-3ons which are unsuitable for pregnant women; hence, ultrasound is preferred for examination. Ultrasound images are marred by speckle noise, resulting in masking of important diagnostic information, which makes it challenging for radiologists to differentiate between breast abnormalities. For breast

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Land Use in Advancing Agriculture that play a significant role in DR are microaneurysms, small intra-retinal dot haemorrhages, larger blot haemorrhages, and, especially, red lesions in the nerve fibre layer. In addition, whitish lesions can also be indicators of DR; for example, lipid exudates and cotton wool spots, which are nerve

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Gerhard Gerold,Michael Fremerey,Edi Guhardjaon, object recognition, anatomical structure analysis, etc. The majority of these computer-aided analyses require an intelligent segmentation approach for easy understanding of each image component separately, automatically, and spontaneously. Consequently, AI becomes the primary guiding medium towa

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