Facial expression recognition in videos using hybrid CNN & ConvLSTM.

The three-dimensional convolutional neural network (3D-CNN) and long short-term memory (LSTM) have consistently outperformed many approaches in video-based facial expression recognition (VFER). The image is unrolled to a one-dimensional vector by the vanilla version of the fully-connected LSTM (FC-LSTM), which leads to the loss of crucial spatial information. Convolutional LSTM (ConvLSTM) overcomes this limitation by performing LSTM operations in convolutions without unrolling, thus retaining useful spatial information.

Ureteroscopic holmium laser endopyelotomy for ureteropelvic junction stenosis after pyeloplasty.

Introduction: Pyeloplasty is a standard and highly successful treatment for ureteropelvic junction obstruction. However, stenosis is a late complication causing symptom recurrence. The purpose of this study was to evaluate the use of holmium laser stenosis incision-"laser endopyelotomy"-to manage this.