Otoscopy video screening with deep anomaly detection

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia

“…More naturalistic applications include the following recent works; CNNs and LSTM approach for classifying abnormal breathing events with 3D cameras [22], CNN and its variants and LSTM for fetal anomaly detection in ultrasound video scans [23], [24], CNN and LSTM method for aberrant epileptic seizures from videos [25], ResNetbased contrastive representation for abnormal otoscopy video sequences [26].…”