3D Convolutional Neural Networks (CNNs) have been widely adopted for air...
This study proposes a data-driven method that detects cable damage from
...
Conventional DNN training paradigms typically rely on one training set a...
Precise segmentation of organs and tumors plays a crucial role in clinic...
Sparse representation has been applied successfully in abnormal event
de...