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 …
High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
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 …
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 …
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
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 …
Abstract Artificial intelligence is one of the most discussed topics of the present time. The burning question of today about artificial intelligence is “will it be beneficial or dangerous for …
