Chung Ang University Industry Academic Cooperation

Yeong Joon Kim

Joon Ki Paik

Sun Kyu Kwon

Yeong Heon Mok

Disclosed are a deep learning model optimization method and apparatus for medical image segmentation. A deep learning model optimization method for medical image segmentation includes: (a) initializing a model parameter; (b) updating the model parameter by performing model-agnostic meta learning (MAML) on a model based on sample batch and applying a gradient descent algorithm to a loss function; (c) setting an optimizer parameter as the updated model parameter, performing one-shot meta-learning on the model, and then updating the optimizer parameter by applying the gradient descent algorithm to the loss function; and (d) updating the model parameter by reflecting the updated optimizer parameter.

Growing community of inventors

Hwaseong-si, South Korea

Yeong Joon Kim