Jun 6, 2022 · In this work, we present the implementation of Modified U-Net on Intel Movidius Neural Compute Stick 2 (NCS-2) for the segmentation of medical images.
Jan 12, 2022 · To make these models portable and compatible for prototyping, their implementation on low-power devices is imperative. In this work, we present ...
Nov 13, 2022 · Bibliographic details on Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices.
Jun 10, 2023 · In this paper, we propose U-Net11, a novel variant of U-Net that uses 11 convolutional layers and introduces some modifications to improve the segmentation ...
UNet, which is based on CNNs, is the mainstream method used for medical image segmentation. However, its performance suffers owing to its inability to capture ...
Feb 15, 2024 · This study trains a U-shaped fully convolutional neural network (U-Net) model based on peripheral contour measures to achieve rapid, accurate, automated ...
Feb 29, 2024 · We introduce a novel approach that combines the Swin Transformer and Deformable Transformer to enhance overall model performance.
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Apr 15, 2022 · U-Net is improved in the areas of application range, feature enhancement, training speed optimization, training accuracy, feature fusion, small ...
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This paper reviews the literature on segmentation techniques that have produced major breakthroughs in recent years.
An improved U-Net (MU-Net) is constructed for plant diseased leaf image segmentation by introducing a residual block (Resblock) and a residual path (Respath).