Medical diagnostic imaging

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for […]

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Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this

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High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation

Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for

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Two-Stage Convolutional Neural Network(CNN) for Medical Noise Removal via Image Decomposition

Two-Stage Convolutional Neural Network (CNN) for Medical Noise Removal via Image Decomposition

Abstract Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a

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