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Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences.

, , , , и . AICCSA, стр. 1-6. IEEE, (2021)

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Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation., , , , , , и . IET Image Process., 14 (3): 506-517 (2020)Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network., , , и . Int. J. Imaging Syst. Technol., 32 (3): 1015-1029 (2022)A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors., , , и . IWANN (2), том 11507 из Lecture Notes in Computer Science, стр. 555-567. Springer, (2019)Fully Integrated Spatial Information to Improve FCM Algorithm for Brain MRI Image Segmentation., и . Autom. Control. Comput. Sci., 56 (1): 67-82 (2022)Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures., , , и . IPTA, стр. 1-7. IEEE, (2020)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)Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results., , , и . BrainLes@MICCAI (2), том 11993 из Lecture Notes in Computer Science, стр. 303-315. Springer, (2019)