To reduce the risks associated with ionizing radiation, a reduction of
r...
Magnetic resonance imaging (MRI)-based synthetic computed tomography (sC...
This study aims to develop a novel Cycle-guided Denoising Diffusion
Prob...
In this work, we propose an adversarial attack-based data augmentation m...
CBCTs in image-guided radiotherapy provide crucial anatomy information f...
Computational task offloading based on edge computing can deal with the
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Medical imaging is widely used in cancer diagnosis and treatment, and
ar...
This paper presents a review of deep learning (DL) in multi-organ
segmen...
This paper reviewed the machine learning-based studies for quantitative
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This paper presents a review of deep learning (DL) based medical image
r...