Left ventricle segmentation combining deep learning and deformable models with anatomical constraints

A Threshold Selection Method from Gray-Level Histograms

Nobuyuki Otsu · IEEE Transactions on Systems Man and Cybernetics · 1979 · 42.3K citations

Image Analysis, Machine Vision, Engineering +8

Left ventricular end-systolic volume as the major determinant of survival after recovery from myocardial infarction.

Harvey D. White, R M Norris, Matthew A. Brown et al. · Circulation · 1987 · 2.4K citations

Heart Failure, Cardiovascular Disease, Ejection Fractions +11

Distance Regularized Level Set Evolution and Its Application to Image Segmentation

Chunming Li, Chenyang Xu, Changfeng Gui et al. · IEEE Transactions on Image Processing · 2010 · 2.1K citations

Numerical Analysis, Engineering, Variational Analysis +21

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti et al. · IEEE Transactions on Medical Imaging · 2018 · 2.1K citations · Full text

Convolutional Neural Network, Multiple Instance Learning, Engineering +22

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

M. R. Avendi, Arash Kheradvar, Hamid Jafarkhani · Medical Image Analysis · 2016 · 595 citations

Image Analysis, Engineering, Medical Imaging +13