MCSTransWnet: A new deep learning process for postoperative corneal topography prediction based on raw multimodal data from the Pentacam HR system

MCSTransWnet: A new deep learning process for postoperative corneal topography prediction based on raw multimodal data from the Pentacam HR system

This work provides a new multimodal fusion generative adversarial net (GAN) model, Multiple Conditions Transform W-net (MCSTransWnet), which primarily uses femtosecond laser arcuate keratotomy surgical parameters and preoperative corneal topography to predict postoperative corneal topography in asti...

Full description

Bibliographic Details
Main Authors: Nan Cheng, Zhe Zhang, Jing Pan, Xiao-Na Li, Wei-Yi Chen, Guang-Hua Zhang, Wei-Hua Yang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Medicine in Novel Technology and Devices
Subjects:
Deep learning
Generative adversarial networks
Corneal topography
Transformer
W-net
U-net
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093523000620

Similar Items

Similar Items