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

• 主要な著者: Yulu Huang (著者), Haomiao Sun (著者), Qinchang Chen (著者), Junjun Shen (著者), Jin Han (著者), Shiguang Shan (著者), Shushui Wang (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-05-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...