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Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).

, , , , , and . Expert Syst. J. Knowl. Eng., (2022)

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Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)., , , , , and . Expert Syst. J. Knowl. Eng., (2022)Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools., , , , , and . WorldCIST (1), volume 468 of Lecture Notes in Networks and Systems, page 663-673. Springer, (2022)Left Ventricle Wall Motion Abnormalities Detection in Cardiac MRI., , , , and . SSD, page 912-918. IEEE, (2023)Automatic Deep Learning-based Myocardial Contours Segmentation from Cine MRI Images., , , , , , and . SSD, page 76-81. IEEE, (2024)Convolution Neural Network for Objective Myocardial Viability Assessment Based on Regional Wall Thickness Quantification From Cine-MR Images., , , , and . IEEE Access, (2024)A New Approach for Native Myocardial T1 mapping using a standard Single-shot MRI pulse sequence technique., , and . CENTERIS/ProjMAN/HCist, volume 219 of Procedia Computer Science, page 1216-1223. Elsevier, (2022)A quasi-static biomechanical model of the human myocardium based on Cardiac Magnetic Resonance images., , , and . CENTERIS/ProjMAN/HCist, volume 219 of Procedia Computer Science, page 1177-1184. Elsevier, (2022)