https://www.selleckchem.com/pr....oducts/pf-06826647.h
Disadvantages of CT include poor soft tissue contrast and exposure to ionizing radiation. While MRI can overcome these disadvantages, it lacks the photon absorption information. Thus, an intelligent transformation from MR to CT is of great interest. To address this need and using combined MR UTE and modified Dixon (mDixon) data, we propose the SCT-PK-PS method that jointly leverages prior knowledge and partial supervision. Two key machine learning techniques KL-TFCM and LapSVM are used in SCT-PK-PS. The significance of our effort is
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