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Medical imaging processing for deep learning.

This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

Nevertheless, each medical imaging modal unavoidably has its own limitations, so the fusion of multimodal medical images may become an effective solution. In this paper, a novel fusion method on the ...

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A newly developed machine learning algorithm is taking on math problems that have vexed experts for decades. By Margherita Bassi HTC Vive Focus Vision Showcases the Problems of VR Headsets That ...

Beyond babies, sonograms are used to help diagnose medical conditions by creating images of body organs and tissues. These professionals include musculoskeletal sonographers, who specialize in ...

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We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. Artificial intelligence (AI) image and upscaler tools provide a great way to ... In ...

Medical image segmentation plays a pivotal role in modern healthcare, enabling precise analysis and diagnosis through the extraction of anatomical structures and abnormalities. This chapter provides a ...