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MFP Factory tour, Dr.Tarzamani, Full professor of Tabriz Radiology Department
March 7, 2020 /0 Comments/in new1 /by adminNF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI
January 9, 2020 /0 Comments/in lastnews, news3 /by adminConvolutional neural networks (CNNs) are extensively used in cardiac image analysis. However, heart localization has
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography
July 10, 2019 /0 Comments/in news3 /by adminSegmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction.
A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition
April 15, 2018 /0 Comments/in news3 /by adminRight ventricle segmentation is a challenging task in cardiac image analysis due to its complex anatomy and huge shape variations.
Left Ventricle Segmentation Using a Combination of Region Growing and Graph Based Method
April 14, 2017 /0 Comments/in lastnews, news3 /by adminBackground: Left ventricle segmentation plays an essential role in computation of cardiac functional parameters such as ventricular end diastolic and