incorporating TOF and point-spread function (PSF) modeling on a medical image processing workstation (uWS-MI, United Imaging Healthcare). The deadtime, normalization and decay corrections were also performed. The attenuation map was registered to the corresponding PET data with...
To our knowledge, only one group has developed a predictive model of TKR that accepts image inputs, attaining performance that surpasses that of models using only clinical and demographic information24. Notably, past TKR predictive models largely measure performance by evaluating the area under the ...
To meet the amount of data required for deep learning, the sample size of the data set used in this experiment far exceeds the sample sizes of previous studies. In the training process, the image is input into the network in the form of a whole, and the global characteristics of the ima...
A Graphics object cannot be created from an image that has an indexed pixel format. A new expression requires (), [], or {} after type a reference to '' could not be added. Adding this project as a reference would cause a circular dependency A reference to the component 'System' alrea...
In doing so, PatchCore becomes less reliant on image alignment while also estimating anomalies using a much larger nominal context. Furthermore, unlike PaDiM, input images do not require the same shape during training and testing. Finally, PatchCore makes use of lo- cally aware patch-...
A Graphics object cannot be created from an image that has an indexed pixel format. A new expression requires (), [], or {} after type a reference to '' could not be added. Adding this project as a reference would cause a circular dependency A reference to the component 'System' alrea...
based image denoising methods also have drawbacks: (1) the extracted feature maps of these models are not rich and sufficient, and they only utilize a single kind of feature map extracted from networks; and (2) they only handled the specific noise and are not adaptive to mixed types of ...