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Deep Learning-Based Prediction Model for the Cobb Angle in Adolescent Idiopathic Scoliosis Patients

Scoliosis, characterized by spine deformity, is most common in adolescent idiopathic scoliosis (AIS). Manual Cobb angle measurement limitations underscore the need for automated tools. This study employed a vertebral landmark extraction method and Feedforward Neural Network (FNN) to predict scoliosi...

Täydet tiedot

Tallennettuna:
Päätekijät: Chun-Sing (Elvis) Chui, Zhong He, Tsz-Ping Lam, Ka-Kwan (Kyle) Mak, Hin-Ting (Randy) Ng, Chun-Hai (Ericsson) Fung, Mei-Shuen Chan, Sheung-Wai Law, Yuk-Wai (Wayne) Lee, Lik-Hang (Alec) Hung, Chiu-Wing (Winnie) Chu, Sze-Yi (Sibyl) Mak, Wing-Fung (Edmond) Yau, Zhen Liu, Wu-Jun Li, Zezhang Zhu, Man Yeung (Ronald) Wong, Chun-Yiu (Jack) Cheng, Yong Qiu, Shu-Hang (Patrick) Yung
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2024-06-01
Sarja:Diagnostics
Aiheet:
adolescent idiopathic scoliosis (AIS)
Cobb angles
Feedforward Neural Network (FNN)
Linkit:https://www.mdpi.com/2075-4418/14/12/1263
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