Publications by authors named "Lazhen Zhou"
Article Synopsis
- - The use of computed tomography (CT) is common in healthcare, but high radiation doses can lead to concerns about potential harm, making the balance between radiation reduction and image quality crucial.
- - Researchers have focused on developing low-dose CT (LDCT) imaging algorithms, with deep learning approaches showing promising improvements in image quality despite reduced radiation exposure.
- - The review discusses traditional CT reconstruction methods, evaluates deep neural network applications in various stages of LDCT imaging, and assesses the strengths and weaknesses of each technique, while also addressing current challenges and future research directions in the field.
Liver fibrosis is the intermediate process and inevitable stage of the development of chronic liver disease into cirrhosis. Reducing the degree of liver fibrosis plays an extremely important role in treating chronic liver disease and preventing liver cirrhosis and liver cancer. The formation of liver fibrosis is affected by iron deposition to a certain extent, and excessive iron deposition further induces liver cirrhosis and liver cancer.
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