Computer-based facial recognition as an assisting diagnostic tool to identify children with Noonan syndrome

• Main Authors: Yulu Huang (Author), Haomiao Sun (Author), Qinchang Chen (Author), Junjun Shen (Author), Jin Han (Author), Shiguang Shan (Author), Shushui Wang (Author)
• Format: Book
• Published: BMC, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Noonan syndrome (NS) is a rare genetic disease, and patients who suffer from it exhibit a facial morphology that is characterized by a high forehead, hypertelorism, ptosis, inner epicanthal folds, down-slanting palpebral fissures, a highly arched palate, a round nasal tip, and po...