6 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2021
Sk-Unet Model with Fourier Domain for Mitosis Detection
Sen Yang, Feng Luo, Jun Zhang +1
Mitotic count is the most important morphological feature of breast cancer grading. Many deep learning-based methods have been proposed but suffer from domain shift. In this work,…
eess.IV2021
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Alain Lalande, Zhihao Chen, Thibaut Pommier +30
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…
eess.IV2020★ 6 cited
SK-Unet: an Improved U-net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR
Xiyue Wang, Sen Yang, Mingxuan Tang +4
In the clinical environment, myocardial infarction (MI) as one com-mon cardiovascular disease is mainly evaluated based on the late gadolinium enhancement (LGE) cardiac magnetic re…