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Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Background Recent advances in deep learning techniques have led to improved diagnostic
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
Applications of artificial intelligence in dentistry: A comprehensive review
Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …
machine learning (ML) in dentistry, providing the community with a broad insight on the …
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Commercial iterative reconstruction techniques help to reduce the radiation dose of
computed tomography (CT), but altered image appearance and artefacts can limit their …
computed tomography (CT), but altered image appearance and artefacts can limit their …
Medical image super-resolution reconstruction algorithms based on deep learning: A survey
D Qiu, Y Cheng, X Wang - Computer Methods and Programs in …, 2023 - Elsevier
Background and objective With the high-resolution (HR) requirements of medical images in
clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution …
clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution …
Eformer: Edge enhancement based transformer for medical image denoising
Progress in deep learning-based dental and maxillofacial image analysis: A systematic review
Background With the advent of deep learning in modern computing there has been
unprecedented progress in image processing and segmentation. Deep learning-based …
unprecedented progress in image processing and segmentation. Deep learning-based …
A review of deep learning methods for denoising of medical low-dose CT images
J Zhang, W Gong, L Ye, F Wang, Z Shangguan… - Computers in Biology …, 2024 - Elsevier
To prevent patients from being exposed to excess of radiation in CT imaging, the most
common solution is to decrease the radiation dose by reducing the X-ray, and thus the …
common solution is to decrease the radiation dose by reducing the X-ray, and thus the …
Edcnn: Edge enhancement-based densely connected network with compound loss for low-dose ct denoising
In the past few decades, to reduce the risk of X-ray in computed tomography (CT), low-dose
CT image denoising has attracted extensive attention from researchers, which has become …
CT image denoising has attracted extensive attention from researchers, which has become …