2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification
Mice are commonly used for experimental atherosclerosis research, and a common procedure involves morphometric analysis of atherosclerotic lesions on Oil Red O-stained cross-sections of the aortic root. However, manual measurement of atherosclerotic lesion sizes on numerous histological sections is tedious and time-consuming. Here, we developed a deep learning model based on convolutional neural…
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