… In recent years, deep learning technology has greatly promoted the progress of lip reading
… methods and recent methods based on deep learning. Finally, the potential problems and …

… deep learning method of deep convolutional neural network (DCNN) was applied to the
imagomics analysis of knee X-ray images… The deep learning model showed excellent diagnostic …

… through augmented feature representation, category determination of Breast Imaging
Reporting and Data System (BI-RADS), etc. The AI system can improve the efficiency in radiology …

… Multi-parameter magnetic resonance imaging (mpMRI) as a non-invasive … Machine learning
is a branch of artificial intelligence (AI). It can quickly and accurately analyze mpMRI images, …

… To summarize the current research status and future prospects of machine learning … breast
cancer imaging data were first introduced, and the application of machine learning technology …

… basis of deep learning models be verified, but also deep learning models can be made to
focus more on important features to improve deep learning … X-ray images and saliency maps of …

… history of ghost imaging and single-pixel imaging is briefly reviewed with a focus on typical
image … Tabletop Xray ghost imaging with ultra-low radiation[J]. Optica, 2018, 5(4): 374-377. …

… reconstruction algorithm can effectively decrease image … imaging, and has achieved good
results. This paper reviews the application and research progress of deep learning image …

… -speed synchrotron x-ray imaging and thermal imaging, coupled … Amplifying this understanding
with machine learning, we … labeling enabled by operando x-ray imaging allowed us to …

… capabilities to image non-crystal objects and also applied it to X-ray[… machine learning and
various imaging modes such as autofluorescence imaging[161] , quantitative phase imaging[…