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Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture.

, , , , и . ICCCI (CCIS Volume), том 1653 из Communications in Computer and Information Science, стр. 352-359. Springer, (2022)

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Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture., , , , и . ICCCI (CCIS Volume), том 1653 из Communications in Computer and Information Science, стр. 352-359. Springer, (2022)U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images., , , , , и . CAIP (1), том 13052 из Lecture Notes in Computer Science, стр. 145-153. Springer, (2021)Image processing on mobile devices: An overview., , и . IPAS, стр. 1-8. IEEE, (2014)IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Techniques., , , и . MEDI Workshops, том 2071 из Communications in Computer and Information Science, стр. 172-183. Springer, (2023)Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models., , , , и . ICCCI (CCIS Volume), том 1653 из Communications in Computer and Information Science, стр. 385-395. Springer, (2022)Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences., , , , и . AICCSA, стр. 1-6. IEEE, (2021)Left Ventricle Wall Motion Abnormalities Detection in Cardiac MRI., , , , и . SSD, стр. 912-918. IEEE, (2023)Automatic Deep Learning-based Myocardial Contours Segmentation from Cine MRI Images., , , , , , и . SSD, стр. 76-81. IEEE, (2024)Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation., , , , , , и . IET Image Process., 14 (3): 506-517 (2020)Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools., , , , , и . WorldCIST (1), том 468 из Lecture Notes in Networks and Systems, стр. 663-673. Springer, (2022)