Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Medical image segmentation based on U-net: A review.
Medical image analysis is performed by analyzing images obtained by medical imaging
systems to solve clinical problems. The purpose is to extract effective information and …
systems to solve clinical problems. The purpose is to extract effective information and …
Radiological images and machine learning: trends, perspectives, and prospects
The application of machine learning to radiological images is an increasingly active
research area that is expected to grow in the next five to ten years. Recent advances in …
research area that is expected to grow in the next five to ten years. Recent advances in …
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
Positron emission tomography (PET) is a widely used imaging modality, providing insight
into both the biochemical and physiological processes of human body. Usually, a full dose …
into both the biochemical and physiological processes of human body. Usually, a full dose …
Multi-modality cascaded convolutional neural networks for Alzheimer's disease diagnosis
M Liu, D Cheng, K Wang, Y Wang… - Neuroinformatics, 2018 - Springer
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient
care and development of future treatment. Structural and functional neuroimages, such as …
care and development of future treatment. Structural and functional neuroimages, such as …
Supervised learning with cyclegan for low-dose FDG PET image denoising
PET imaging involves radiotracer injections, raising concerns about the risk of radiation
exposure. To minimize the potential risk, one way is to reduce the injected tracer. However …
exposure. To minimize the potential risk, one way is to reduce the injected tracer. However …
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI
Positron emission tomography (PET) is an essential technique in many clinical applications
such as tumor detection and brain disorder diagnosis. In order to obtain high-quality PET …
such as tumor detection and brain disorder diagnosis. In order to obtain high-quality PET …
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Positron emission tomography (PET) is a typical nuclear imaging technique, which can
provide crucial functional information for early brain disease diagnosis. Generally, clinically …
provide crucial functional information for early brain disease diagnosis. Generally, clinically …
Review and prospect: artificial intelligence in advanced medical imaging
Artificial intelligence (AI) as an emerging technology is gaining momentum in medical
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
3D auto-context-based locality adaptive multi-modality GANs for PET synthesis
Positron emission tomography (PET) has been substantially used recently. To minimize the
potential health risk caused by the tracer radiation inherent to PET scans, it is of great …
potential health risk caused by the tracer radiation inherent to PET scans, it is of great …
200x low-dose PET reconstruction using deep learning
Positron emission tomography (PET) is widely used in various clinical applications,
including cancer diagnosis, heart disease and neuro disorders. The use of radioactive tracer …
including cancer diagnosis, heart disease and neuro disorders. The use of radioactive tracer …