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• W3133909080 abstract "Brain is the controlling center of our body. With the advent of time, newer and newer brain diseases are being discovered. Thus, because of the variability of brain diseases, existing diagnosis or detection systems are becoming challenging and are still an open problem for research. Detection of brain diseases at an early stage can make a huge difference in attempting to cure them. In recent years, the use of artificial intelligence (AI) is surging through all spheres of science, and no doubt, it is revolutionizing the field of neurology. Application of AI in medical science has made brain disease prediction and detection more accurate and precise. In this study, we present a review on recent machine learning and deep learning approaches in detecting four brain diseases such as Alzheimer's disease (AD), brain tumor, epilepsy, and Parkinson's disease. 147 recent articles on four brain diseases are reviewed considering diverse machine learning and deep learning approaches, modalities, datasets etc. Twenty-two datasets are discussed which are used most frequently in the reviewed articles as a primary source of brain disease data. Moreover, a brief overview of different feature extraction techniques that are used in diagnosing brain diseases is provided. Finally, key findings from the reviewed articles are summarized and a number of major issues related to machine learning/deep learning-based brain disease diagnostic approaches are discussed. Through this study, we aim at finding the most accurate technique for detecting different brain diseases which can be employed for future betterment." @default.
• W3133909080 created "2021-03-15" @default.
• W3133909080 creator A5007294569 @default.
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• W3133909080 creator A5068844271 @default.
• W3133909080 creator A5071051120 @default.
• W3133909080 date "2021-01-01" @default.
• W3133909080 modified "2023-10-15" @default.
• W3133909080 title "Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances" @default.
• W3133909080 cites W1447565288 @default.
• W3133909080 cites W1967167074 @default.
• W3133909080 cites W1971035997 @default.
• W3133909080 cites W1973612122 @default.
• W3133909080 cites W2000501114 @default.
• W3133909080 cites W2092818848 @default.
• W3133909080 cites W2101326489 @default.
• W3133909080 cites W2103402739 @default.
• W3133909080 cites W2123957845 @default.
• W3133909080 cites W2150534249 @default.
• W3133909080 cites W2314635528 @default.
• W3133909080 cites W2334143299 @default.
• W3133909080 cites W2413280148 @default.
• W3133909080 cites W2471219310 @default.
• W3133909080 cites W2515338206 @default.
• W3133909080 cites W2607941059 @default.
• W3133909080 cites W2767911917 @default.
• W3133909080 cites W2769782531 @default.
• W3133909080 cites W2773597698 @default.
• W3133909080 cites W2780705833 @default.
• W3133909080 cites W2783371799 @default.
• W3133909080 cites W2791282053 @default.
• W3133909080 cites W2793664204 @default.
• W3133909080 cites W2885588087 @default.
• W3133909080 cites W2887590219 @default.
• W3133909080 cites W2891503716 @default.
• W3133909080 cites W2891516347 @default.
• W3133909080 cites W2895106932 @default.
• W3133909080 cites W2899635607 @default.
• W3133909080 cites W2900361496 @default.
• W3133909080 cites W2900386946 @default.
• W3133909080 cites W2901020939 @default.
• W3133909080 cites W2902565488 @default.
• W3133909080 cites W2904319976 @default.
• W3133909080 cites W2904747698 @default.
• W3133909080 cites W2905442369 @default.
• W3133909080 cites W2905603723 @default.
• W3133909080 cites W2906155095 @default.
• W3133909080 cites W2907148404 @default.
• W3133909080 cites W2908971995 @default.
• W3133909080 cites W2910639586 @default.
• W3133909080 cites W2911617196 @default.
• W3133909080 cites W2914307117 @default.
• W3133909080 cites W2919415071 @default.
• W3133909080 cites W2922045303 @default.
• W3133909080 cites W2927351257 @default.
• W3133909080 cites W2934533499 @default.
• W3133909080 cites W2936290332 @default.
• W3133909080 cites W2942882625 @default.
• W3133909080 cites W2944541202 @default.
• W3133909080 cites W2946860563 @default.
• W3133909080 cites W2946961381 @default.
• W3133909080 cites W2949980035 @default.
• W3133909080 cites W2950680182 @default.
• W3133909080 cites W2952283671 @default.
• W3133909080 cites W2958089299 @default.
• W3133909080 cites W2959517839 @default.
• W3133909080 cites W2960986212 @default.
• W3133909080 cites W2968726102 @default.
• W3133909080 cites W2972576105 @default.
• W3133909080 cites W2972838422 @default.
• W3133909080 cites W2973083287 @default.
• W3133909080 cites W2974878728 @default.
• W3133909080 cites W2977087659 @default.
• W3133909080 cites W2980180565 @default.
• W3133909080 cites W2980671251 @default.
• W3133909080 cites W2981055130 @default.
• W3133909080 cites W2981355144 @default.
• W3133909080 cites W2981603465 @default.
• W3133909080 cites W2981665155 @default.
• W3133909080 cites W2985860224 @default.
• W3133909080 cites W2987779221 @default.
• W3133909080 cites W2987867378 @default.
• W3133909080 cites W2988529604 @default.
• W3133909080 cites W2990007740 @default.
• W3133909080 cites W2992947267 @default.
• W3133909080 cites W2992991004 @default.
• W3133909080 cites W2993219936 @default.
• W3133909080 cites W2993429139 @default.
• W3133909080 cites W2995495466 @default.
• W3133909080 cites W2995904286 @default.
• W3133909080 cites W2996632711 @default.
• W3133909080 cites W2996636445 @default.
• W3133909080 cites W2997081473 @default.
• W3133909080 cites W2997935828 @default.
• W3133909080 cites W2998311683 @default.

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