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

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Machine Learning and Deep Learning-Based Framework for Detection and Classification of Diabetic Ret 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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Applications of Artificial Intelligence in Medical Images Analysis,e invasive procedure to obtain images using contrast agent for clear visualization of the tissue of interest. The images obtained using different modalities are highly unstructured, which makes it difficult for inexperienced medical practitioner to derive the value of the unstructured data. Conseque

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Intelligent Image Segmentation Methods Using Deep Convolutional Neural Network,on, 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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Early Lung Cancer Detection by Using Artificial Intelligence System,ch 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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