Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
[HTML][HTML] X-ray computed tomography of polymer composites
The use of X-ray computed tomography (CT), exploiting both synchrotron and laboratory
sources, has grown significantly over the last decade, driven primarily by improvements in …
sources, has grown significantly over the last decade, driven primarily by improvements in …
Improving diffusion models for inverse problems using manifold constraints
Recently, diffusion models have been used to solve various inverse problems in an
unsupervised manner with appropriate modifications to the sampling process. However, the …
unsupervised manner with appropriate modifications to the sampling process. However, the …
Solving inverse problems in medical imaging with score-based generative models
Reconstructing medical images from partial measurements is an important inverse problem
in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions …
in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions …
Models genesis
Transfer learning from natural images to medical images has been established as one of the
most practical paradigms in deep learning for medical image analysis. To fit this paradigm …
most practical paradigms in deep learning for medical image analysis. To fit this paradigm …
Models genesis: Generic autodidactic models for 3d medical image analysis
Transfer learning from natural image to medical image has established as one of the most
practical paradigms in deep learning for medical image analysis. However, to fit this …
practical paradigms in deep learning for medical image analysis. However, to fit this …
Computed tomography reconstruction using deep image prior and learned reconstruction methods
In this paper we describe an investigation into the application of deep learning methods for
low-dose and sparse angle computed tomography using small training datasets. To motivate …
low-dose and sparse angle computed tomography using small training datasets. To motivate …
X-ray-computed tomography contrast agents
H Lusic, MW Grinstaff - Chemical reviews, 2013 - ACS Publications
X-ray-computed tomography (CT) is a well-established tissueimaging technique employed
in a variety of research and clinical settings. 1 Specifically, CT is a noninvasive clinical …
in a variety of research and clinical settings. 1 Specifically, CT is a noninvasive clinical …
[图书][B] Simulation of Piezoelectric Sensor and Actuator Devices
SJ Rupitsch, SJ Rupitsch - 2019 - Springer
In this chapter, we will study the fundamentals of the FE method, which are important for
simulating the behavior of piezoelectric sensors and actuators. The focus lies on linear FE …
simulating the behavior of piezoelectric sensors and actuators. The focus lies on linear FE …
X-ray computed tomography: from medical imaging to dimensional metrology
X-ray computed tomography (also referred to as X-ray CT, CAT scan, or simply 'CT') is a
technological advancement with expanding applications, from medical imaging and …
technological advancement with expanding applications, from medical imaging and …