Mar 25, 2021 · In this paper, we introduce a novel Task-Oriented Denoising Network (TOD-Net) with a task-oriented loss leveraging knowledge from the downstream tasks.
Sep 21, 2021 · In this paper, we introduce a novel Task-Oriented Denoising Network (TOD-Net) with a task-oriented loss leveraging knowledge from the downstream tasks.
Sep 1, 2021 · This paper proposes a task-oriented low-dose CT denoising network with knowledge from downstream tasks. Empirically validated with liver and ...
Sep 6, 2024 · Reducing the radiation dose may lead to increased noise and artifacts, which can adversely affect radiologists' judgment and confidence. Hence, ...
This paper introduces a novel Task-Oriented Denoising Network (TOD-Net) with a task-oriented loss leveraging knowledge from the downstream tasks that ...
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept. 27-Oct.1, 2021. Contact Information.
Demo for task-oriented denoising network (TOD-Net) #################. This is the demo for our MICCAI-2021 paper 'Task-Oriented Low-Dose CT Image Denoising' ...
Various low-dose CT denoising methods, especially the recent deep learning based approaches, have produced impressive results. However, the existing denoising ...
Feb 3, 2023 · To improve the resolution of denoising results, we combine convolutional dictionary learning and convolutional neural network (CNN), and propose ...
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A constructive non-local means algorithm for low-dose computed ...
www.ncbi.nlm.nih.gov › PMC10529561
Sep 27, 2023 · We propose an innovative constructive non-local image filtering algorithm by means of applications in low-dose computed tomography technology.