Recent developments in denoising medical images using deep learning: an overview of models, techniques, and challenges.
Medical imaging plays a critical role in diagnosing and treating various medical conditions.
However, interpreting medical images can be challenging even for expert clinicians, as they …
However, interpreting medical images can be challenging even for expert clinicians, as they …
Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT
Z Zhou, NR Huber, A Inoue… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose Deep convolutional neural network (CNN)-based methods are increasingly used
for reducing image noise in computed tomography (CT). Current attempts at CNN denoising …
for reducing image noise in computed tomography (CT). Current attempts at CNN denoising …
Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
Background Deep‐learning‐based image reconstruction and noise reduction methods
(DLIR) have been increasingly deployed in clinical CT. Accurate image quality assessment …
(DLIR) have been increasingly deployed in clinical CT. Accurate image quality assessment …
Synthetization of high‐dose images using low‐dose CT scans
J Hsieh - Medical Physics, 2024 - Wiley Online Library
Background Radiation dose reduction has been the focus of many research activities in x‐
ray CT. Various approaches were taken to minimize the dose to patients, ranging from the …
ray CT. Various approaches were taken to minimize the dose to patients, ranging from the …
Self-trained deep convolutional neural network for noise reduction in CT
Z Zhou, A Inoue, CH McCollough… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose Supervised deep convolutional neural network (CNN)-based methods have been
actively used in clinical CT to reduce image noise. The networks of these methods are …
actively used in clinical CT to reduce image noise. The networks of these methods are …